
Adit-jain/soccana
Object Detection
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This dataset is a curated subset (25,000 images) from a larger soccer vision dataset containing over 1 million images (50+ GB). The data was collected and augmented from multiple open-source sources, including the SoccerNet dataset, video game renders, and publicly available match footage.
It is optimized for object detection tasks, especially focusing on soccer-related entities such as players, referees, and the ball, including various augmentation types like background-only and noisy scenes.
player
referee
ball
160x160
, 320x320
, 640x640
, and 1280x1080
(Full HD)V1/
βββ images/
β βββ train/
β βββ test/
βββ labels/ # YOLO TXT labels
β βββ train/
β βββ test/
βββ coco_test_annotations/ # COCO format labels (train.json, val.json)
βββ coco_train_annotations/ # COCO format labels (train.json, val.json)
βββ data.yaml # Ultralytics YOLOv8-compatible YAML
βββ samples/ # Dataset samples
Can find detailed guide at github
Class ID | Label |
---|---|
0 | Player |
1 | Referee |
2 | Ball |