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file_name stringlengths 31 31	im_path stringlengths 46 46	caption stringlengths 2 104	bbox stringlengths 21 45	prompt stringlengths 2.03k 2.52k	texts stringlengths 2 61	sentence stringlengths 42 524	outp_org listlengths 4 4	formatted_sentence stringlengths 37 71	modified_sentence stringlengths 38 518	target listlengths 4 4
COCO_train2014_000000551717.jpg	refcoco_images/COCO_train2014_000000551717.jpg	ticket taker	[575.14,118.38,640.,,,381.08]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Ticket at location [347, 144, 495, 401] Detected Taker at location [347, 144, 496, 401] Detected ticket taker at location [575, 118, 639, 380] Select the coordinates for the target object based on this Caption:'ticket taker' Caption: 'ticket taker' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Ticket', 'Taker']	Detected Ticket at location [347, 144, 495, 401] Detected Taker at location [347, 144, 496, 401] Detected ticket taker at location [575, 118, 639, 380]	[ 575, 118, 639, 380 ]	Detected ticket taker at location [575, 118, 639, 380]	Detected Ticket at location [347, 144, 495, 401] Detected Taker at location [347, 144, 496, 401] Detected ticket taker at location [575, 118, 639, 380]	[ 575, 118, 639, 380 ]
COCO_train2014_000000518957.jpg	refcoco_images/COCO_train2014_000000518957.jpg	furthest left person	[,31.74,,75.02,137.54,348.29]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Person at location [520, 32, 638, 391] Detected Person at location [243, 123, 408, 383] Detected person at location [32, 76, 135, 348] Select the coordinates for the target object based on this Caption:'furthest left person' Caption: 'furthest left person' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Person']	Detected Person at location [520, 32, 638, 391] Detected Person at location [243, 123, 408, 383] Detected furthest left person at location [32, 76, 135, 348]	[ 32, 76, 135, 348 ]	Detected person at location [32, 76, 135, 348]	Detected Person at location [520, 32, 638, 391] Detected Person at location [243, 123, 408, 383] Detected person at location [32, 76, 135, 348]	[ 32, 76, 135, 348 ]
COCO_train2014_000000547633.jpg	refcoco_images/COCO_train2014_000000547633.jpg	mug on right next to spoons	[316.42,293.65,475.35,433.96]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Mug at location [319, 292, 475, 433] Detected Mug at location [292, 162, 430, 295] Detected Spoon at location [331, 410, 436, 606] Detected Spoon at location [313, 366, 359, 570] Detected mug at location [318, 294, 474, 433] Select the coordinates for the target object based on this Caption:'mug on right next to spoons' Caption: 'mug on right next to spoons' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Mug', 'Spoon']	Detected Mug at location [319, 292, 475, 433] Detected Mug at location [292, 162, 430, 295] Detected Spoon at location [331, 410, 436, 606] Detected Spoon at location [313, 366, 359, 570] Detected mug on right next to spoons at location [318, 294, 474, 433]	[ 318, 294, 474, 433 ]	Detected mug at location [318, 294, 474, 433]	Detected Mug at location [319, 292, 475, 433] Detected Mug at location [292, 162, 430, 295] Detected Spoon at location [331, 410, 436, 606] Detected Spoon at location [313, 366, 359, 570] Detected mug at location [318, 294, 474, 433]	[ 318, 294, 474, 433 ]
COCO_train2014_000000553038.jpg	refcoco_images/COCO_train2014_000000553038.jpg	Puffin on the right stretching	[408.5,,,,0.,,,563.51,161.39]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Puffin at location [191, 273, 364, 410] Detected Puffin at location [409, 0, 562, 160] Select the coordinates for the target object based on this Caption:'Puffin on the right stretching' Caption: 'Puffin on the right stretching' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Puffin']	Detected Puffin at location [191, 273, 364, 410] Detected Puffin on the right stretching at location [409, 0, 562, 160]	[ 409, 0, 562, 160 ]	Detected Puffin at location [409, 0, 562, 160]	Detected Puffin at location [191, 273, 364, 410] Detected Puffin at location [409, 0, 562, 160]	[ 409, 0, 562, 160 ]
COCO_train2014_000000566495.jpg	refcoco_images/COCO_train2014_000000566495.jpg	1st horse	[,,0.,,,232.57,274.22,564.24]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Horse at location [0, 233, 273, 638] Detected Horse at location [0, 234, 273, 563] Detected horse at location [274, 261, 427, 572] Select the coordinates for the target object based on this Caption:'1st horse' Caption: '1st horse' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Horse']	Detected Horse at location [0, 233, 273, 638] Detected Horse at location [0, 234, 273, 563] Detected 1st horse at location [274, 261, 427, 572]	[ 274, 261, 427, 572 ]	Detected horse at location [274, 261, 427, 572]	Detected Horse at location [0, 233, 273, 638] Detected Horse at location [0, 234, 273, 563] Detected horse at location [274, 261, 427, 572]	[ 274, 261, 427, 572 ]
COCO_train2014_000000540947.jpg	refcoco_images/COCO_train2014_000000540947.jpg	hitter	[,70.74,225.05,256.5,,469.82]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Hitter at location [11, 221, 260, 470] Detected Hitter at location [70, 222, 258, 469] Detected hitter at location [71, 225, 255, 467] Select the coordinates for the target object based on this Caption:'hitter' Caption: 'hitter' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Hitter']	Detected Hitter at location [11, 221, 260, 470] Detected Hitter at location [70, 222, 258, 469] Detected hitter at location [71, 225, 255, 467]	[ 71, 225, 255, 467 ]	Detected hitter at location [71, 225, 255, 467]	Detected Hitter at location [11, 221, 260, 470] Detected Hitter at location [70, 222, 258, 469] Detected hitter at location [71, 225, 255, 467]	[ 71, 225, 255, 467 ]
COCO_train2014_000000547135.jpg	refcoco_images/COCO_train2014_000000547135.jpg	front most bike not the people just the bike	[,,0.94,317.27,347.39,418.,,]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Bike at location [2, 273, 347, 416] Detected Bike at location [306, 202, 473, 416] Detected front most bike at location [306, 206, 469, 416] Detected not the people at location [0, 309, 346, 416] Detected bike at location [0, 171, 160, 362] Select the coordinates for the target object based on this Caption:'front most bike not the people just the bike' Caption: 'front most bike not the people just the bike' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Bike']	Detected Bike at location [2, 273, 347, 416] Detected Bike at location [306, 202, 473, 416] Detected front most bike at location [306, 206, 469, 416] Detected not the people at location [0, 309, 346, 416] Detected just the bike at location [0, 171, 160, 362]	[ 0, 171, 160, 362 ]	Detected bike at location [0, 171, 160, 362]	Detected Bike at location [2, 273, 347, 416] Detected Bike at location [306, 202, 473, 416] Detected front most bike at location [306, 206, 469, 416] Detected not the people at location [0, 309, 346, 416] Detected bike at location [0, 171, 160, 362]	[ 0, 171, 160, 362 ]
COCO_train2014_000000539727.jpg	refcoco_images/COCO_train2014_000000539727.jpg	donut with colored sprinkles	[351.66,,75.38,568.95,289.81]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Donut at location [291, 0, 639, 423] Detected Donut at location [354, 75, 569, 286] Detected sprinkles at location [356, 77, 567, 285] Detected donut at location [352, 76, 568, 290] Select the coordinates for the target object based on this Caption:'donut with colored sprinkles' Caption: 'donut with colored sprinkles' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Donut', 'Sprinkles']	Detected Donut at location [291, 0, 639, 423] Detected Donut at location [354, 75, 569, 286] Detected sprinkles at location [356, 77, 567, 285] Detected donut with colored sprinkles at location [352, 76, 568, 290]	[ 352, 76, 568, 290 ]	Detected donut at location [352, 76, 568, 290]	Detected Donut at location [291, 0, 639, 423] Detected Donut at location [354, 75, 569, 286] Detected sprinkles at location [356, 77, 567, 285] Detected donut at location [352, 76, 568, 290]	[ 352, 76, 568, 290 ]
COCO_train2014_000000534926.jpg	refcoco_images/COCO_train2014_000000534926.jpg	man on bikre	[198.96,,84.6,,306.8,,384.9,]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Man at location [144, 78, 487, 392] Detected Man at location [199, 80, 316, 386] Detected Bike at location [144, 115, 486, 392] Detected man at location [199, 84, 310, 384] Select the coordinates for the target object based on this Caption:'man on bikre' Caption: 'man on bikre' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Man', 'Bike']	Detected Man at location [144, 78, 487, 392] Detected Man at location [199, 80, 316, 386] Detected Bike at location [144, 115, 486, 392] Detected man on bikre at location [199, 84, 310, 384]	[ 199, 84, 310, 384 ]	Detected man at location [199, 84, 310, 384]	Detected Man at location [144, 78, 487, 392] Detected Man at location [199, 80, 316, 386] Detected Bike at location [144, 115, 486, 392] Detected man at location [199, 84, 310, 384]	[ 199, 84, 310, 384 ]
COCO_train2014_000000527509.jpg	refcoco_images/COCO_train2014_000000527509.jpg	with green and red spot	[,49.32,,68.95,216.09,173.37]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Spot at location [3, 3, 639, 479] Detected green spot at location [49, 68, 214, 173] Select the coordinates for the target object based on this Caption:'with green and red spot' Caption: 'with green and red spot' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Spot']	Detected Spot at location [3, 3, 639, 479] Detected with green and red spot at location [49, 68, 214, 173]	[ 49, 68, 214, 173 ]	Detected green spot at location [49, 68, 214, 173]	Detected Spot at location [3, 3, 639, 479] Detected green spot at location [49, 68, 214, 173]	[ 49, 68, 214, 173 ]
COCO_train2014_000000572602.jpg	refcoco_images/COCO_train2014_000000572602.jpg	the bowl of strawberries	[,,0.,,,152.64,322.36,469.66]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Bowl at location [0, 0, 575, 474] Detected Bowl at location [0, 153, 325, 474] Detected bowl at location [0, 154, 322, 474] Select the coordinates for the target object based on this Caption:'the bowl of strawberries' Caption: 'the bowl of strawberries' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Bowl', 'Strawberries']	Detected Bowl at location [0, 0, 575, 474] Detected Bowl at location [0, 153, 325, 474] Detected the bowl of strawberries at location [0, 154, 322, 474]	[ 0, 154, 322, 474 ]	Detected bowl at location [0, 154, 322, 474]	Detected Bowl at location [0, 0, 575, 474] Detected Bowl at location [0, 153, 325, 474] Detected bowl at location [0, 154, 322, 474]	[ 0, 154, 322, 474 ]
COCO_train2014_000000575711.jpg	refcoco_images/COCO_train2014_000000575711.jpg	woman in navy shirt with birds on it	[,,1.,,,,81.38,261.81,435.77]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Navy shirt at location [3, 202, 194, 440] Detected woman at location [0, 82, 262, 440] Select the coordinates for the target object based on this Caption:'woman in navy shirt with birds on it' Caption: 'woman in navy shirt with birds on it' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Navy shirt', 'Birds']	Detected Navy shirt at location [3, 202, 194, 440] Detected woman in navy shirt with birds on it at location [0, 82, 262, 440]	[ 0, 82, 262, 440 ]	Detected woman at location [0, 82, 262, 440]	Detected Navy shirt at location [3, 202, 194, 440] Detected woman at location [0, 82, 262, 440]	[ 0, 82, 262, 440 ]
COCO_train2014_000000562092.jpg	refcoco_images/COCO_train2014_000000562092.jpg	cow on right	[540.2,,166.69,640.,,,350.15]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Cow at location [83, 13, 633, 475] Detected cow at location [540, 167, 639, 351] Select the coordinates for the target object based on this Caption:'cow on right' Caption: 'cow on right' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Cow']	Detected Cow at location [83, 13, 633, 475] Detected cow on right at location [540, 167, 639, 351]	[ 540, 167, 639, 351 ]	Detected cow at location [540, 167, 639, 351]	Detected Cow at location [83, 13, 633, 475] Detected cow at location [540, 167, 639, 351]	[ 540, 167, 639, 351 ]
COCO_train2014_000000541721.jpg	refcoco_images/COCO_train2014_000000541721.jpg	right person	[304.74,,51.62,523.17,420.33]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Person at location [302, 50, 522, 420] Detected Person at location [105, 46, 317, 421] Detected person at location [304, 52, 521, 420] Select the coordinates for the target object based on this Caption:'right person' Caption: 'right person' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Person']	Detected Person at location [302, 50, 522, 420] Detected Person at location [105, 46, 317, 421] Detected right person at location [304, 52, 521, 420]	[ 304, 52, 521, 420 ]	Detected person at location [304, 52, 521, 420]	Detected Person at location [302, 50, 522, 420] Detected Person at location [105, 46, 317, 421] Detected person at location [304, 52, 521, 420]	[ 304, 52, 521, 420 ]
COCO_train2014_000000566368.jpg	refcoco_images/COCO_train2014_000000566368.jpg	bottom middle	[152.81,251.5,,317.98,495.32]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected remote control at location [2, 1, 479, 639] Detected at location [2, 2, 479, 639] Select the coordinates for the target object based on this Caption:'bottom middle' Caption: 'bottom middle' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	[]	Detected remote control at location [2, 1, 479, 639] Detected bottom middle at location [2, 2, 479, 639]	[ 2, 2, 479, 639 ]	Detected at location [2, 2, 479, 639]	Detected remote control at location [2, 1, 479, 639] Detected at location [2, 2, 479, 639]	[ 2, 2, 479, 639 ]
COCO_train2014_000000571644.jpg	refcoco_images/COCO_train2014_000000571644.jpg	mini couch kids are sitting on	[,51.76,189.94,402.34,369.63]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Couch at location [67, 245, 518, 479] Detected Kids at location [323, 106, 487, 293] Detected Kids at location [107, 133, 223, 283] Detected mini couch at location [67, 244, 514, 479] Select the coordinates for the target object based on this Caption:'mini couch kids are sitting on' Caption: 'mini couch kids are sitting on' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Couch', 'Kids']	Detected Couch at location [67, 245, 518, 479] Detected Kids at location [323, 106, 487, 293] Detected Kids at location [107, 133, 223, 283] Detected mini couch kids are sitting on at location [67, 244, 514, 479]	[ 67, 244, 514, 479 ]	Detected mini couch at location [67, 244, 514, 479]	Detected Couch at location [67, 245, 518, 479] Detected Kids at location [323, 106, 487, 293] Detected Kids at location [107, 133, 223, 283] Detected mini couch at location [67, 244, 514, 479]	[ 67, 244, 514, 479 ]
COCO_train2014_000000533484.jpg	refcoco_images/COCO_train2014_000000533484.jpg	white nerd	[212.34,,69.16,375.97,368.18]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Nerd at location [268, 86, 494, 479] Detected white nerd at location [271, 89, 480, 479] Select the coordinates for the target object based on this Caption:'white nerd' Caption: 'white nerd' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Nerd']	Detected Nerd at location [268, 86, 494, 479] Detected white nerd at location [271, 89, 480, 479]	[ 271, 89, 480, 479 ]	Detected white nerd at location [271, 89, 480, 479]	Detected Nerd at location [268, 86, 494, 479] Detected white nerd at location [271, 89, 480, 479]	[ 271, 89, 480, 479 ]
COCO_train2014_000000520434.jpg	refcoco_images/COCO_train2014_000000520434.jpg	right gal	[421.32,,24.94,593.15,415.2,]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Gal at location [107, 22, 284, 411] Detected Gal at location [420, 24, 593, 412] Detected right gal at location [422, 26, 591, 411] Select the coordinates for the target object based on this Caption:'right gal' Caption: 'right gal' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Gal']	Detected Gal at location [107, 22, 284, 411] Detected Gal at location [420, 24, 593, 412] Detected right gal at location [422, 26, 591, 411]	[ 422, 26, 591, 411 ]	Detected right gal at location [422, 26, 591, 411]	Detected Gal at location [107, 22, 284, 411] Detected Gal at location [420, 24, 593, 412] Detected right gal at location [422, 26, 591, 411]	[ 422, 26, 591, 411 ]
COCO_train2014_000000542159.jpg	refcoco_images/COCO_train2014_000000542159.jpg	left	[,,1.11,,49.03,241.8,,423.43]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected at location [0, 50, 241, 427] Select the coordinates for the target object based on this Caption:'left' Caption: 'left' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	[]	Detected left at location [0, 50, 241, 427]	[ 0, 50, 241, 427 ]	Detected at location [0, 50, 241, 427]	Detected at location [0, 50, 241, 427]	[ 0, 50, 241, 427 ]
COCO_train2014_000000574211.jpg	refcoco_images/COCO_train2014_000000574211.jpg	guy on right	[451.68,103.49,563.17,369.35]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Guy at location [448, 102, 566, 373] Detected Guy at location [326, 107, 439, 353] Detected Guy at location [219, 106, 327, 358] Detected Guy at location [112, 101, 213, 367] Detected guy at location [451, 103, 562, 370] Select the coordinates for the target object based on this Caption:'guy on right' Caption: 'guy on right' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Guy']	Detected Guy at location [448, 102, 566, 373] Detected Guy at location [326, 107, 439, 353] Detected Guy at location [219, 106, 327, 358] Detected Guy at location [112, 101, 213, 367] Detected guy on right at location [451, 103, 562, 370]	[ 451, 103, 562, 370 ]	Detected guy at location [451, 103, 562, 370]	Detected Guy at location [448, 102, 566, 373] Detected Guy at location [326, 107, 439, 353] Detected Guy at location [219, 106, 327, 358] Detected Guy at location [112, 101, 213, 367] Detected guy at location [451, 103, 562, 370]	[ 451, 103, 562, 370 ]
COCO_train2014_000000566368.jpg	refcoco_images/COCO_train2014_000000566368.jpg	Cellphones top row second from right	[,93.06,,,1.03,260.18,247.24]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Cellphone at location [2, 2, 479, 639] Detected Cellphones at location [30, 0, 259, 349] Select the coordinates for the target object based on this Caption:'Cellphones top row second from right' Caption: 'Cellphones top row second from right' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Cellphone']	Detected Cellphone at location [2, 2, 479, 639] Detected Cellphones top row second from right at location [30, 0, 259, 349]	[ 30, 0, 259, 349 ]	Detected Cellphones at location [30, 0, 259, 349]	Detected Cellphone at location [2, 2, 479, 639] Detected Cellphones at location [30, 0, 259, 349]	[ 30, 0, 259, 349 ]
COCO_train2014_000000548647.jpg	refcoco_images/COCO_train2014_000000548647.jpg	guy in black suit	[305.65,,72.11,472.47,473.54]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Black suit at location [327, 129, 475, 479] Detected guy in black suit at location [304, 73, 472, 479] Select the coordinates for the target object based on this Caption:'guy in black suit' Caption: 'guy in black suit' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Black suit', 'Suit']	Detected Black suit at location [327, 129, 475, 479] Detected guy in black suit at location [304, 73, 472, 479]	[ 304, 73, 472, 479 ]	Detected guy in black suit at location [304, 73, 472, 479]	Detected Black suit at location [327, 129, 475, 479] Detected guy in black suit at location [304, 73, 472, 479]	[ 304, 73, 472, 479 ]
COCO_train2014_000000517805.jpg	refcoco_images/COCO_train2014_000000517805.jpg	man	[310.65,198.26,527.46,474.61]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Man at location [308, 197, 530, 479] Detected man at location [309, 198, 526, 479] Select the coordinates for the target object based on this Caption:'man' Caption: 'man' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Man']	Detected Man at location [308, 197, 530, 479] Detected man at location [309, 198, 526, 479]	[ 309, 198, 526, 479 ]	Detected man at location [309, 198, 526, 479]	Detected Man at location [308, 197, 530, 479] Detected man at location [309, 198, 526, 479]	[ 309, 198, 526, 479 ]
COCO_train2014_000000545405.jpg	refcoco_images/COCO_train2014_000000545405.jpg	finger ? right	[362.33,149.07,500.,,,371.2,]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Finger at location [130, 226, 357, 479] Detected finger at location [432, 174, 639, 479] Select the coordinates for the target object based on this Caption:'finger ? right' Caption: 'finger ? right' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Finger']	Detected Finger at location [130, 226, 357, 479] Detected finger ? right at location [432, 174, 639, 479]	[ 432, 174, 639, 479 ]	Detected finger at location [432, 174, 639, 479]	Detected Finger at location [130, 226, 357, 479] Detected finger at location [432, 174, 639, 479]	[ 432, 174, 639, 479 ]
COCO_train2014_000000565360.jpg	refcoco_images/COCO_train2014_000000565360.jpg	YELLOW SHIRT IN FRONT	[326.34,,,7.99,495.14,447.98]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Yellow shirt at location [332, 75, 499, 244] Detected YELLOW SHIRT at location [130, 58, 229, 297] Select the coordinates for the target object based on this Caption:'YELLOW SHIRT IN FRONT' Caption: 'YELLOW SHIRT IN FRONT' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Yellow shirt', 'Shirt']	Detected Yellow shirt at location [332, 75, 499, 244] Detected YELLOW SHIRT IN FRONT at location [130, 58, 229, 297]	[ 130, 58, 229, 297 ]	Detected YELLOW SHIRT at location [130, 58, 229, 297]	Detected Yellow shirt at location [332, 75, 499, 244] Detected YELLOW SHIRT at location [130, 58, 229, 297]	[ 130, 58, 229, 297 ]
COCO_train2014_000000547859.jpg	refcoco_images/COCO_train2014_000000547859.jpg	boy on left	[,19.51,,72.61,242.36,421.78]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Boy at location [393, 70, 622, 415] Detected Boy at location [31, 74, 240, 418] Detected boy at location [21, 73, 244, 422] Select the coordinates for the target object based on this Caption:'boy on left' Caption: 'boy on left' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Boy']	Detected Boy at location [393, 70, 622, 415] Detected Boy at location [31, 74, 240, 418] Detected boy on left at location [21, 73, 244, 422]	[ 21, 73, 244, 422 ]	Detected boy at location [21, 73, 244, 422]	Detected Boy at location [393, 70, 622, 415] Detected Boy at location [31, 74, 240, 418] Detected boy at location [21, 73, 244, 422]	[ 21, 73, 244, 422 ]
COCO_train2014_000000561653.jpg	refcoco_images/COCO_train2014_000000561653.jpg	white bus	[,85.,,,,85.,,,496.63,367.7,]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Bus at location [81, 85, 493, 367] Detected white bus at location [85, 85, 496, 367] Select the coordinates for the target object based on this Caption:'white bus' Caption: 'white bus' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Bus']	Detected Bus at location [81, 85, 493, 367] Detected white bus at location [85, 85, 496, 367]	[ 85, 85, 496, 367 ]	Detected white bus at location [85, 85, 496, 367]	Detected Bus at location [81, 85, 493, 367] Detected white bus at location [85, 85, 496, 367]	[ 85, 85, 496, 367 ]
COCO_train2014_000000545405.jpg	refcoco_images/COCO_train2014_000000545405.jpg	gray shirt upper right corner	[387.61,,,1.4,,500.,,,204.88]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Gray shirt at location [502, 2, 639, 248] Detected Shirt at location [503, 2, 639, 247] Detected gray shirt at location [491, 0, 639, 259] Select the coordinates for the target object based on this Caption:'gray shirt upper right corner' Caption: 'gray shirt upper right corner' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Gray shirt', 'Shirt']	Detected Gray shirt at location [502, 2, 639, 248] Detected Shirt at location [503, 2, 639, 247] Detected gray shirt upper right corner at location [491, 0, 639, 259]	[ 491, 0, 639, 259 ]	Detected gray shirt at location [491, 0, 639, 259]	Detected Gray shirt at location [502, 2, 639, 248] Detected Shirt at location [503, 2, 639, 247] Detected gray shirt at location [491, 0, 639, 259]	[ 491, 0, 639, 259 ]
COCO_train2014_000000535455.jpg	refcoco_images/COCO_train2014_000000535455.jpg	VERY TOP LEFT PIZZA	[,33.44,,,1.76,301.9,,138.65]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Pizza at location [39, 1, 637, 469] Select the coordinates for the target object based on this Caption:'VERY TOP LEFT PIZZA' Caption: 'VERY TOP LEFT PIZZA' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Pizza']	Detected Pizza at location [39, 1, 637, 469]	[ 39, 1, 637, 469 ]	Detected Pizza at location [39, 1, 637, 469]	Detected Pizza at location [39, 1, 637, 469]	[ 39, 1, 637, 469 ]
COCO_train2014_000000517005.jpg	refcoco_images/COCO_train2014_000000517005.jpg	catcher	[208.25,242.77,339.42,423.41]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Catcher at location [200, 236, 348, 430] Detected catcher at location [205, 242, 339, 425] Select the coordinates for the target object based on this Caption:'catcher' Caption: 'catcher' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Catcher']	Detected Catcher at location [200, 236, 348, 430] Detected catcher at location [205, 242, 339, 425]	[ 205, 242, 339, 425 ]	Detected catcher at location [205, 242, 339, 425]	Detected Catcher at location [200, 236, 348, 430] Detected catcher at location [205, 242, 339, 425]	[ 205, 242, 339, 425 ]
COCO_train2014_000000532734.jpg	refcoco_images/COCO_train2014_000000532734.jpg	player on left facing camera	[,46.2,,,63.53,166.37,474.59]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Player at location [195, 60, 337, 535] Detected player at location [46, 64, 166, 474] Select the coordinates for the target object based on this Caption:'player on left facing camera' Caption: 'player on left facing camera' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Player']	Detected Player at location [195, 60, 337, 535] Detected player on left facing camera at location [46, 64, 166, 474]	[ 46, 64, 166, 474 ]	Detected player at location [46, 64, 166, 474]	Detected Player at location [195, 60, 337, 535] Detected player at location [46, 64, 166, 474]	[ 46, 64, 166, 474 ]
COCO_train2014_000000549759.jpg	refcoco_images/COCO_train2014_000000549759.jpg	left side monitor	[,,0.,,,,20.62,350.35,283.88]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Monitor at location [2, 20, 351, 282] Detected monitor at location [0, 21, 349, 284] Select the coordinates for the target object based on this Caption:'left side monitor' Caption: 'left side monitor' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Monitor']	Detected Monitor at location [2, 20, 351, 282] Detected left side monitor at location [0, 21, 349, 284]	[ 0, 21, 349, 284 ]	Detected monitor at location [0, 21, 349, 284]	Detected Monitor at location [2, 20, 351, 282] Detected monitor at location [0, 21, 349, 284]	[ 0, 21, 349, 284 ]
COCO_train2014_000000552163.jpg	refcoco_images/COCO_train2014_000000552163.jpg	third from left holding paper	[,58.1,,207.85,123.83,477.76]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Paper at location [23, 323, 64, 363] Detected Paper at location [90, 342, 120, 379] Detected third at location [57, 207, 123, 474] Select the coordinates for the target object based on this Caption:'third from left holding paper' Caption: 'third from left holding paper' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Paper']	Detected Paper at location [23, 323, 64, 363] Detected Paper at location [90, 342, 120, 379] Detected third from left holding paper at location [57, 207, 123, 474]	[ 57, 207, 123, 474 ]	Detected third at location [57, 207, 123, 474]	Detected Paper at location [23, 323, 64, 363] Detected Paper at location [90, 342, 120, 379] Detected third at location [57, 207, 123, 474]	[ 57, 207, 123, 474 ]
COCO_train2014_000000533179.jpg	refcoco_images/COCO_train2014_000000533179.jpg	white bag	[186.78,133.81,350.77,439.2,]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Bag at location [38, 2, 412, 262] Detected white bag at location [186, 135, 350, 438] Select the coordinates for the target object based on this Caption:'white bag' Caption: 'white bag' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Bag']	Detected Bag at location [38, 2, 412, 262] Detected white bag at location [186, 135, 350, 438]	[ 186, 135, 350, 438 ]	Detected white bag at location [186, 135, 350, 438]	Detected Bag at location [38, 2, 412, 262] Detected white bag at location [186, 135, 350, 438]	[ 186, 135, 350, 438 ]
COCO_train2014_000000529240.jpg	refcoco_images/COCO_train2014_000000529240.jpg	man behind podium	[233.03,155.74,413.54,365.85]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Man at location [236, 151, 411, 362] Detected Podium at location [73, 305, 325, 424] Detected man at location [232, 157, 414, 366] Select the coordinates for the target object based on this Caption:'man behind podium' Caption: 'man behind podium' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Man', 'Podium']	Detected Man at location [236, 151, 411, 362] Detected Podium at location [73, 305, 325, 424] Detected man behind podium at location [232, 157, 414, 366]	[ 232, 157, 414, 366 ]	Detected man at location [232, 157, 414, 366]	Detected Man at location [236, 151, 411, 362] Detected Podium at location [73, 305, 325, 424] Detected man at location [232, 157, 414, 366]	[ 232, 157, 414, 366 ]
COCO_train2014_000000561382.jpg	refcoco_images/COCO_train2014_000000561382.jpg	guy between red and white umbrellas	[368.21,,97.86,453.84,320.97]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Guy at location [231, 97, 363, 408] Detected Umbrella at location [238, 98, 363, 264] Detected guy at location [368, 98, 452, 321] Select the coordinates for the target object based on this Caption:'guy between red and white umbrellas' Caption: 'guy between red and white umbrellas' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Guy', 'Umbrella']	Detected Guy at location [231, 97, 363, 408] Detected Umbrella at location [238, 98, 363, 264] Detected guy between red and white umbrellas at location [368, 98, 452, 321]	[ 368, 98, 452, 321 ]	Detected guy at location [368, 98, 452, 321]	Detected Guy at location [231, 97, 363, 408] Detected Umbrella at location [238, 98, 363, 264] Detected guy at location [368, 98, 452, 321]	[ 368, 98, 452, 321 ]
COCO_train2014_000000528130.jpg	refcoco_images/COCO_train2014_000000528130.jpg	black n white sheep	[253.8,,155.03,410.77,359.9,]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Sheep at location [101, 149, 411, 358] Detected Sheep at location [103, 152, 288, 333] Detected Sheep at location [251, 157, 409, 358] Detected black n white sheep at location [103, 152, 291, 336] Select the coordinates for the target object based on this Caption:'black n white sheep' Caption: 'black n white sheep' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Sheep']	Detected Sheep at location [101, 149, 411, 358] Detected Sheep at location [103, 152, 288, 333] Detected Sheep at location [251, 157, 409, 358] Detected black n white sheep at location [103, 152, 291, 336]	[ 103, 152, 291, 336 ]	Detected black n white sheep at location [103, 152, 291, 336]	Detected Sheep at location [101, 149, 411, 358] Detected Sheep at location [103, 152, 288, 333] Detected Sheep at location [251, 157, 409, 358] Detected black n white sheep at location [103, 152, 291, 336]	[ 103, 152, 291, 336 ]
COCO_train2014_000000569851.jpg	refcoco_images/COCO_train2014_000000569851.jpg	right of kiwi	[272.28,285.56,421.56,427.,,]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Kiwi at location [56, 311, 309, 426] Detected kiwi at location [272, 286, 421, 426] Select the coordinates for the target object based on this Caption:'right of kiwi' Caption: 'right of kiwi' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Kiwi']	Detected Kiwi at location [56, 311, 309, 426] Detected right of kiwi at location [272, 286, 421, 426]	[ 272, 286, 421, 426 ]	Detected kiwi at location [272, 286, 421, 426]	Detected Kiwi at location [56, 311, 309, 426] Detected kiwi at location [272, 286, 421, 426]	[ 272, 286, 421, 426 ]
COCO_train2014_000000533220.jpg	refcoco_images/COCO_train2014_000000533220.jpg	left guy	[,92.53,122.17,273.74,367.96]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Guy at location [448, 132, 637, 422] Detected Guy at location [88, 130, 266, 391] Detected guy at location [88, 133, 265, 393] Select the coordinates for the target object based on this Caption:'left guy' Caption: 'left guy' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Guy']	Detected Guy at location [448, 132, 637, 422] Detected Guy at location [88, 130, 266, 391] Detected left guy at location [88, 133, 265, 393]	[ 88, 133, 265, 393 ]	Detected guy at location [88, 133, 265, 393]	Detected Guy at location [448, 132, 637, 422] Detected Guy at location [88, 130, 266, 391] Detected guy at location [88, 133, 265, 393]	[ 88, 133, 265, 393 ]
COCO_train2014_000000526666.jpg	refcoco_images/COCO_train2014_000000526666.jpg	PERSON WITH BOOK	[232.74,,,1.5,,577.13,565.18]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Person at location [237, 21, 579, 565] Detected Person at location [18, 18, 199, 580] Detected Book at location [318, 144, 473, 280] Select the coordinates for the target object based on this Caption:'PERSON WITH BOOK' Caption: 'PERSON WITH BOOK' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Person', 'Book']	Detected Person at location [237, 21, 579, 565] Detected Person at location [18, 18, 199, 580] Detected Book at location [318, 144, 473, 280]	[ 318, 144, 473, 280 ]	Detected Book at location [318, 144, 473, 280]	Detected Person at location [237, 21, 579, 565] Detected Person at location [18, 18, 199, 580] Detected Book at location [318, 144, 473, 280]	[ 318, 144, 473, 280 ]
COCO_train2014_000000553501.jpg	refcoco_images/COCO_train2014_000000553501.jpg	center bread loaf. you had that one right!	[246.5,,210.13,409.08,369.89]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Bread loaf at location [3, 140, 263, 364] Detected bread loaf at location [246, 211, 410, 372] Select the coordinates for the target object based on this Caption:'center bread loaf. you had that one right!' Caption: 'center bread loaf. you had that one right!' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Bread loaf']	Detected Bread loaf at location [3, 140, 263, 364] Detected center bread loaf. you had that one right! at location [246, 211, 410, 372]	[ 246, 211, 410, 372 ]	Detected bread loaf at location [246, 211, 410, 372]	Detected Bread loaf at location [3, 140, 263, 364] Detected bread loaf at location [246, 211, 410, 372]	[ 246, 211, 410, 372 ]
COCO_train2014_000000518361.jpg	refcoco_images/COCO_train2014_000000518361.jpg	man	[372.66,,15.21,574.21,389.78]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Man at location [375, 16, 571, 388] Detected man at location [371, 15, 572, 389] Select the coordinates for the target object based on this Caption:'man' Caption: 'man' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Man']	Detected Man at location [375, 16, 571, 388] Detected man at location [371, 15, 572, 389]	[ 371, 15, 572, 389 ]	Detected man at location [371, 15, 572, 389]	Detected Man at location [375, 16, 571, 388] Detected man at location [371, 15, 572, 389]	[ 371, 15, 572, 389 ]
COCO_train2014_000000579785.jpg	refcoco_images/COCO_train2014_000000579785.jpg	girl in gray	[304.86,,80.3,,599.15,427.,,]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Girl at location [302, 81, 596, 425] Detected girl in gray at location [304, 81, 597, 426] Select the coordinates for the target object based on this Caption:'girl in gray' Caption: 'girl in gray' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Girl', 'Gray']	Detected Girl at location [302, 81, 596, 425] Detected girl in gray at location [304, 81, 597, 426]	[ 304, 81, 597, 426 ]	Detected girl in gray at location [304, 81, 597, 426]	Detected Girl at location [302, 81, 596, 425] Detected girl in gray at location [304, 81, 597, 426]	[ 304, 81, 597, 426 ]
COCO_train2014_000000565311.jpg	refcoco_images/COCO_train2014_000000565311.jpg	red topped cookie in the bottom middle	[169.25,199.7,,354.79,363.45]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Cookie at location [292, 143, 638, 392] Detected red topped cookie at location [169, 200, 352, 362] Select the coordinates for the target object based on this Caption:'red topped cookie in the bottom middle' Caption: 'red topped cookie in the bottom middle' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Cookie']	Detected Cookie at location [292, 143, 638, 392] Detected red topped cookie in the bottom middle at location [169, 200, 352, 362]	[ 169, 200, 352, 362 ]	Detected red topped cookie at location [169, 200, 352, 362]	Detected Cookie at location [292, 143, 638, 392] Detected red topped cookie at location [169, 200, 352, 362]	[ 169, 200, 352, 362 ]
COCO_train2014_000000521199.jpg	refcoco_images/COCO_train2014_000000521199.jpg	the face	[,26.15,,26.15,546.,,,595.96]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Face at location [25, 27, 544, 595] Detected Face at location [29, 76, 510, 593] Detected face at location [24, 27, 544, 593] Select the coordinates for the target object based on this Caption:'the face' Caption: 'the face' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Face']	Detected Face at location [25, 27, 544, 595] Detected Face at location [29, 76, 510, 593] Detected the face at location [24, 27, 544, 593]	[ 24, 27, 544, 593 ]	Detected face at location [24, 27, 544, 593]	Detected Face at location [25, 27, 544, 595] Detected Face at location [29, 76, 510, 593] Detected face at location [24, 27, 544, 593]	[ 24, 27, 544, 593 ]
COCO_train2014_000000567082.jpg	refcoco_images/COCO_train2014_000000567082.jpg	bottom in front of officer	[158.39,290.48,304.45,429.,,]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Officer at location [202, 211, 404, 428] Detected officer at location [162, 291, 304, 428] Select the coordinates for the target object based on this Caption:'bottom in front of officer' Caption: 'bottom in front of officer' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Bottom', 'Officer']	Detected Officer at location [202, 211, 404, 428] Detected bottom in front of officer at location [162, 291, 304, 428]	[ 162, 291, 304, 428 ]	Detected officer at location [162, 291, 304, 428]	Detected Officer at location [202, 211, 404, 428] Detected officer at location [162, 291, 304, 428]	[ 162, 291, 304, 428 ]
COCO_train2014_000000537774.jpg	refcoco_images/COCO_train2014_000000537774.jpg	chef at the bottom	[174.38,201.18,339.24,418.44]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Chef at location [257, 121, 425, 424] Detected chef at location [162, 201, 344, 424] Select the coordinates for the target object based on this Caption:'chef at the bottom' Caption: 'chef at the bottom' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Chef']	Detected Chef at location [257, 121, 425, 424] Detected chef at the bottom at location [162, 201, 344, 424]	[ 162, 201, 344, 424 ]	Detected chef at location [162, 201, 344, 424]	Detected Chef at location [257, 121, 425, 424] Detected chef at location [162, 201, 344, 424]	[ 162, 201, 344, 424 ]
COCO_train2014_000000558166.jpg	refcoco_images/COCO_train2014_000000558166.jpg	person taking picture	[387.24,185.53,550.11,446.56]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Person at location [479, 206, 639, 479] Detected Person at location [380, 178, 553, 461] Detected Picture at location [2, 3, 639, 479] Detected person at location [382, 182, 552, 479] Select the coordinates for the target object based on this Caption:'person taking picture' Caption: 'person taking picture' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Person', 'Picture']	Detected Person at location [479, 206, 639, 479] Detected Person at location [380, 178, 553, 461] Detected Picture at location [2, 3, 639, 479] Detected person taking picture at location [382, 182, 552, 479]	[ 382, 182, 552, 479 ]	Detected person at location [382, 182, 552, 479]	Detected Person at location [479, 206, 639, 479] Detected Person at location [380, 178, 553, 461] Detected Picture at location [2, 3, 639, 479] Detected person at location [382, 182, 552, 479]	[ 382, 182, 552, 479 ]
COCO_train2014_000000533004.jpg	refcoco_images/COCO_train2014_000000533004.jpg	clock facing us on right	[298.04,,75.56,464.26,299.09]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Clock at location [103, 62, 473, 384] Detected Clock at location [112, 72, 283, 298] Detected Clock at location [300, 72, 464, 297] Detected clock at location [300, 75, 462, 298] Select the coordinates for the target object based on this Caption:'clock facing us on right' Caption: 'clock facing us on right' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Clock']	Detected Clock at location [103, 62, 473, 384] Detected Clock at location [112, 72, 283, 298] Detected Clock at location [300, 72, 464, 297] Detected clock facing us on right at location [300, 75, 462, 298]	[ 300, 75, 462, 298 ]	Detected clock at location [300, 75, 462, 298]	Detected Clock at location [103, 62, 473, 384] Detected Clock at location [112, 72, 283, 298] Detected Clock at location [300, 72, 464, 297] Detected clock at location [300, 75, 462, 298]	[ 300, 75, 462, 298 ]
COCO_train2014_000000523742.jpg	refcoco_images/COCO_train2014_000000523742.jpg	rt vase	[301.19,203.54,445.59,532.23]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Vase at location [298, 196, 443, 528] Detected vase at location [299, 196, 444, 529] Select the coordinates for the target object based on this Caption:'rt vase' Caption: 'rt vase' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Vase']	Detected Vase at location [298, 196, 443, 528] Detected rt vase at location [299, 196, 444, 529]	[ 299, 196, 444, 529 ]	Detected vase at location [299, 196, 444, 529]	Detected Vase at location [298, 196, 443, 528] Detected vase at location [299, 196, 444, 529]	[ 299, 196, 444, 529 ]
COCO_train2014_000000534323.jpg	refcoco_images/COCO_train2014_000000534323.jpg	left upper cover cloth	[,,1.08,,,3.31,258.88,237.38]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Cover at location [3, 199, 600, 466] Detected upper cover cloth at location [0, 3, 258, 237] Select the coordinates for the target object based on this Caption:'left upper cover cloth' Caption: 'left upper cover cloth' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Cover', 'Cloth']	Detected Cover at location [3, 199, 600, 466] Detected left upper cover cloth at location [0, 3, 258, 237]	[ 0, 3, 258, 237 ]	Detected upper cover cloth at location [0, 3, 258, 237]	Detected Cover at location [3, 199, 600, 466] Detected upper cover cloth at location [0, 3, 258, 237]	[ 0, 3, 258, 237 ]
COCO_train2014_000000572145.jpg	refcoco_images/COCO_train2014_000000572145.jpg	GIRL PURSE ON SHOULDER	[288.15,,89.83,352.29,352.13]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Girl at location [292, 90, 354, 352] Detected Purse at location [307, 123, 382, 202] Detected GIRL PURSE at location [402, 76, 471, 351] Select the coordinates for the target object based on this Caption:'GIRL PURSE ON SHOULDER' Caption: 'GIRL PURSE ON SHOULDER' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Girl', 'Purse', 'Shoulder']	Detected Girl at location [292, 90, 354, 352] Detected Purse at location [307, 123, 382, 202] Detected GIRL PURSE ON SHOULDER at location [402, 76, 471, 351]	[ 402, 76, 471, 351 ]	Detected GIRL PURSE at location [402, 76, 471, 351]	Detected Girl at location [292, 90, 354, 352] Detected Purse at location [307, 123, 382, 202] Detected GIRL PURSE at location [402, 76, 471, 351]	[ 402, 76, 471, 351 ]
COCO_train2014_000000575502.jpg	refcoco_images/COCO_train2014_000000575502.jpg	cake on right	[234.43,179.78,480.,,,473.17]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Cake at location [234, 174, 479, 478] Detected cake at location [234, 178, 479, 478] Select the coordinates for the target object based on this Caption:'cake on right' Caption: 'cake on right' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Cake']	Detected Cake at location [234, 174, 479, 478] Detected cake on right at location [234, 178, 479, 478]	[ 234, 178, 479, 478 ]	Detected cake at location [234, 178, 479, 478]	Detected Cake at location [234, 174, 479, 478] Detected cake at location [234, 178, 479, 478]	[ 234, 178, 479, 478 ]
COCO_train2014_000000531910.jpg	refcoco_images/COCO_train2014_000000531910.jpg	top part of sandwich	[100.4,,,39.88,515.73,268.18]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Sandwich at location [105, 36, 539, 581] Detected Sandwich at location [109, 37, 536, 426] Detected sandwich at location [109, 40, 515, 273] Select the coordinates for the target object based on this Caption:'top part of sandwich' Caption: 'top part of sandwich' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Sandwich']	Detected Sandwich at location [105, 36, 539, 581] Detected Sandwich at location [109, 37, 536, 426] Detected top part of sandwich at location [109, 40, 515, 273]	[ 109, 40, 515, 273 ]	Detected sandwich at location [109, 40, 515, 273]	Detected Sandwich at location [105, 36, 539, 581] Detected Sandwich at location [109, 37, 536, 426] Detected sandwich at location [109, 40, 515, 273]	[ 109, 40, 515, 273 ]
COCO_train2014_000000558824.jpg	refcoco_images/COCO_train2014_000000558824.jpg	woman	[110.35,167.76,311.85,423.,,]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Woman at location [107, 167, 313, 425] Detected woman at location [108, 167, 313, 426] Select the coordinates for the target object based on this Caption:'woman' Caption: 'woman' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Woman']	Detected Woman at location [107, 167, 313, 425] Detected woman at location [108, 167, 313, 426]	[ 108, 167, 313, 426 ]	Detected woman at location [108, 167, 313, 426]	Detected Woman at location [107, 167, 313, 425] Detected woman at location [108, 167, 313, 426]	[ 108, 167, 313, 426 ]
COCO_train2014_000000543573.jpg	refcoco_images/COCO_train2014_000000543573.jpg	bunch in front left	[,,0.,,,105.34,179.49,320.22]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Bunch at location [3, 5, 510, 479] Detected bunch at location [1, 140, 231, 406] Select the coordinates for the target object based on this Caption:'bunch in front left' Caption: 'bunch in front left' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Bunch']	Detected Bunch at location [3, 5, 510, 479] Detected bunch in front left at location [1, 140, 231, 406]	[ 1, 140, 231, 406 ]	Detected bunch at location [1, 140, 231, 406]	Detected Bunch at location [3, 5, 510, 479] Detected bunch at location [1, 140, 231, 406]	[ 1, 140, 231, 406 ]
COCO_train2014_000000538643.jpg	refcoco_images/COCO_train2014_000000538643.jpg	person on right	[435.78,110.02,565.21,398.02]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Person at location [94, 73, 234, 409] Detected Person at location [254, 110, 394, 400] Detected Person at location [437, 109, 562, 401] Detected person at location [436, 111, 565, 398] Select the coordinates for the target object based on this Caption:'person on right' Caption: 'person on right' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Person']	Detected Person at location [94, 73, 234, 409] Detected Person at location [254, 110, 394, 400] Detected Person at location [437, 109, 562, 401] Detected person on right at location [436, 111, 565, 398]	[ 436, 111, 565, 398 ]	Detected person at location [436, 111, 565, 398]	Detected Person at location [94, 73, 234, 409] Detected Person at location [254, 110, 394, 400] Detected Person at location [437, 109, 562, 401] Detected person at location [436, 111, 565, 398]	[ 436, 111, 565, 398 ]
COCO_train2014_000000562147.jpg	refcoco_images/COCO_train2014_000000562147.jpg	brown bag on right	[491.62,198.49,639.34,356.16]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Brown bag at location [195, 252, 430, 435] Detected brown bag at location [492, 198, 639, 355] Select the coordinates for the target object based on this Caption:'brown bag on right' Caption: 'brown bag on right' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Brown bag']	Detected Brown bag at location [195, 252, 430, 435] Detected brown bag on right at location [492, 198, 639, 355]	[ 492, 198, 639, 355 ]	Detected brown bag at location [492, 198, 639, 355]	Detected Brown bag at location [195, 252, 430, 435] Detected brown bag at location [492, 198, 639, 355]	[ 492, 198, 639, 355 ]
COCO_train2014_000000579179.jpg	refcoco_images/COCO_train2014_000000579179.jpg	blue player on the right with arm up	[311.1,,,16.07,477.56,489.04]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Blue player at location [44, 95, 372, 497] Detected arm at location [44, 147, 194, 190] Detected blue player at location [311, 19, 474, 489] Select the coordinates for the target object based on this Caption:'blue player on the right with arm up' Caption: 'blue player on the right with arm up' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Blue player', 'Arm']	Detected Blue player at location [44, 95, 372, 497] Detected arm at location [44, 147, 194, 190] Detected blue player on the right with arm up at location [311, 19, 474, 489]	[ 311, 19, 474, 489 ]	Detected blue player at location [311, 19, 474, 489]	Detected Blue player at location [44, 95, 372, 497] Detected arm at location [44, 147, 194, 190] Detected blue player at location [311, 19, 474, 489]	[ 311, 19, 474, 489 ]
COCO_train2014_000000528851.jpg	refcoco_images/COCO_train2014_000000528851.jpg	turned back to us kid	[446.09,,48.73,571.71,349.55]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Kid at location [121, 33, 281, 292] Detected Kid at location [342, 61, 449, 321] Detected kid at location [446, 52, 569, 347] Select the coordinates for the target object based on this Caption:'turned back to us kid' Caption: 'turned back to us kid' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Kid']	Detected Kid at location [121, 33, 281, 292] Detected Kid at location [342, 61, 449, 321] Detected turned back to us kid at location [446, 52, 569, 347]	[ 446, 52, 569, 347 ]	Detected kid at location [446, 52, 569, 347]	Detected Kid at location [121, 33, 281, 292] Detected Kid at location [342, 61, 449, 321] Detected kid at location [446, 52, 569, 347]	[ 446, 52, 569, 347 ]
COCO_train2014_000000577657.jpg	refcoco_images/COCO_train2014_000000577657.jpg	glass left	[,,1.51,,35.89,,99.39,480.13]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Glass at location [3, 16, 535, 638] Detected glass at location [0, 42, 166, 638] Select the coordinates for the target object based on this Caption:'glass left' Caption: 'glass left' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Glass']	Detected Glass at location [3, 16, 535, 638] Detected glass left at location [0, 42, 166, 638]	[ 0, 42, 166, 638 ]	Detected glass at location [0, 42, 166, 638]	Detected Glass at location [3, 16, 535, 638] Detected glass at location [0, 42, 166, 638]	[ 0, 42, 166, 638 ]
COCO_train2014_000000562675.jpg	refcoco_images/COCO_train2014_000000562675.jpg	green heart	[289.78,,87.32,492.25,297.46]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Heart at location [290, 90, 494, 297] Detected green heart at location [290, 88, 491, 297] Select the coordinates for the target object based on this Caption:'green heart' Caption: 'green heart' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Heart']	Detected Heart at location [290, 90, 494, 297] Detected green heart at location [290, 88, 491, 297]	[ 290, 88, 491, 297 ]	Detected green heart at location [290, 88, 491, 297]	Detected Heart at location [290, 90, 494, 297] Detected green heart at location [290, 88, 491, 297]	[ 290, 88, 491, 297 ]
COCO_train2014_000000535852.jpg	refcoco_images/COCO_train2014_000000535852.jpg	peron on right	[527.38,,50.93,637.22,426.79]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Peron at location [0, 0, 639, 426] Detected peron at location [528, 51, 636, 426] Select the coordinates for the target object based on this Caption:'peron on right' Caption: 'peron on right' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Peron']	Detected Peron at location [0, 0, 639, 426] Detected peron on right at location [528, 51, 636, 426]	[ 528, 51, 636, 426 ]	Detected peron at location [528, 51, 636, 426]	Detected Peron at location [0, 0, 639, 426] Detected peron at location [528, 51, 636, 426]	[ 528, 51, 636, 426 ]
COCO_train2014_000000522256.jpg	refcoco_images/COCO_train2014_000000522256.jpg	kid holding bat	[,84.11,,59.41,295.45,421.72]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Kid at location [84, 61, 299, 425] Detected Kid at location [373, 122, 506, 480] Detected kid at location [84, 63, 297, 423] Select the coordinates for the target object based on this Caption:'kid holding bat' Caption: 'kid holding bat' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Kid', 'Bat']	Detected Kid at location [84, 61, 299, 425] Detected Kid at location [373, 122, 506, 480] Detected kid holding bat at location [84, 63, 297, 423]	[ 84, 63, 297, 423 ]	Detected kid at location [84, 63, 297, 423]	Detected Kid at location [84, 61, 299, 425] Detected Kid at location [373, 122, 506, 480] Detected kid at location [84, 63, 297, 423]	[ 84, 63, 297, 423 ]
COCO_train2014_000000550476.jpg	refcoco_images/COCO_train2014_000000550476.jpg	pony tailed dad	[247.69,,35.22,500.,,,328.56]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Pony tailed dad at location [307, 43, 638, 423] Detected Dad at location [307, 43, 637, 423] Detected pony tailed dad at location [312, 46, 638, 425] Select the coordinates for the target object based on this Caption:'pony tailed dad' Caption: 'pony tailed dad' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Pony tailed dad', 'Dad']	Detected Pony tailed dad at location [307, 43, 638, 423] Detected Dad at location [307, 43, 637, 423] Detected pony tailed dad at location [312, 46, 638, 425]	[ 312, 46, 638, 425 ]	Detected pony tailed dad at location [312, 46, 638, 425]	Detected Pony tailed dad at location [307, 43, 638, 423] Detected Dad at location [307, 43, 637, 423] Detected pony tailed dad at location [312, 46, 638, 425]	[ 312, 46, 638, 425 ]
COCO_train2014_000000579156.jpg	refcoco_images/COCO_train2014_000000579156.jpg	cow on the far right	[402.42,140.32,500.,,,342.74]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Cow at location [56, 170, 639, 431] Detected Cow at location [59, 186, 384, 403] Detected cow at location [514, 179, 639, 435] Select the coordinates for the target object based on this Caption:'cow on the far right' Caption: 'cow on the far right' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Cow']	Detected Cow at location [56, 170, 639, 431] Detected Cow at location [59, 186, 384, 403] Detected cow on the far right at location [514, 179, 639, 435]	[ 514, 179, 639, 435 ]	Detected cow at location [514, 179, 639, 435]	Detected Cow at location [56, 170, 639, 431] Detected Cow at location [59, 186, 384, 403] Detected cow at location [514, 179, 639, 435]	[ 514, 179, 639, 435 ]
COCO_train2014_000000532577.jpg	refcoco_images/COCO_train2014_000000532577.jpg	child	[222.47,171.01,389.32,445.05]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Child at location [227, 173, 390, 450] Detected child at location [226, 172, 389, 450] Select the coordinates for the target object based on this Caption:'child' Caption: 'child' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Child']	Detected Child at location [227, 173, 390, 450] Detected child at location [226, 172, 389, 450]	[ 226, 172, 389, 450 ]	Detected child at location [226, 172, 389, 450]	Detected Child at location [227, 173, 390, 450] Detected child at location [226, 172, 389, 450]	[ 226, 172, 389, 450 ]
COCO_train2014_000000519911.jpg	refcoco_images/COCO_train2014_000000519911.jpg	middle bear	[,61.52,,33.67,365.77,478.86]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Bear at location [82, 36, 462, 616] Detected bear at location [83, 36, 462, 617] Select the coordinates for the target object based on this Caption:'middle bear' Caption: 'middle bear' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Bear']	Detected Bear at location [82, 36, 462, 616] Detected middle bear at location [83, 36, 462, 617]	[ 83, 36, 462, 617 ]	Detected bear at location [83, 36, 462, 617]	Detected Bear at location [82, 36, 462, 616] Detected bear at location [83, 36, 462, 617]	[ 83, 36, 462, 617 ]
COCO_train2014_000000544113.jpg	refcoco_images/COCO_train2014_000000544113.jpg	right small bowl	[271.79,410.52,397.13,559.96]	<\|im_start\|>system You are a coordinate selection system. Your task is to: 1. Parse the given bounding box coordinates 2. For left/right selection: - Compare the starting x-coordinates (first number in each box) - Left means smaller x-coordinate - Right means larger x-coordinate 3. For top/bottom selection: - Compare the starting y-coordinates (second number in each box) - Top means smaller y-coordinate - Bottom means larger y-coordinate 4. For closest selection: - Compare the distance from the center of the boxe to target - Closest means the boxes with the smallest distance between them 5. For size selection: - Compare the area of the boxes - Larger means the box with the largest area - Smaller means the box with the smallest area 6.You first thinks about the reasoning process in the mind and then provides the user with the answer NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference Remember: In image coordinates: - X increases from left to right - Y increases from top to bottom - Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>. <\|im_end\|> <\|im_start\|>user Given these bounding boxes: Detected Bowl at location [270, 409, 400, 562] Detected small bowl at location [270, 409, 400, 563] Select the coordinates for the target object based on this Caption:'right small bowl' Caption: 'right small bowl' . Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><\|im_end\|> <\|im_start\|>assistant Let me solve this step by step. <think><\|im_end\|>	['Bowl']	Detected Bowl at location [270, 409, 400, 562] Detected right small bowl at location [270, 409, 400, 563]	[ 270, 409, 400, 563 ]	Detected small bowl at location [270, 409, 400, 563]	Detected Bowl at location [270, 409, 400, 562] Detected small bowl at location [270, 409, 400, 563]	[ 270, 409, 400, 563 ]

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