Datasets:

Neatherblok
/

SnowySidewalkDetection-SyntheticEval

Modalities:

Image

Formats:

imagefolder

Size:

1K - 10K

Libraries:

Datasets

License:

Dataset card Data Studio Files Files and versions

xet

Community

SnowySidewalkDetection-SyntheticEval / test /snow

2 contributors

History: 2 commits

Neatherblok

Changes images in test set to prevent too high similarity between pictures and real world training set

a6b58e9 7 months ago

selected_image_1.jpg

881 kB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_10.jpg

878 kB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_11.jpg

791 kB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_12.jpg

1.08 MB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_13.jpg

1.03 MB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_14.jpg

1.03 MB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_143.jpg

789 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_144.jpg

773 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_145.jpg

990 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_146.jpg

952 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_148.jpg

713 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_149.jpg

769 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_15.jpg

923 kB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_151.jpg

782 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_152.jpg

744 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_154.jpg

625 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_155.jpg

676 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_156.jpg

767 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_159.jpg

800 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_16.jpg

682 kB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_160.jpg

715 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_161.jpg

904 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_162.jpg

759 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_163.jpg

639 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_164.jpg

792 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_165.jpg

605 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_166.jpg

919 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_167.jpg

767 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_168.jpg

935 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_169.jpg

903 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_17.jpg

883 kB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_171.jpg

522 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_173.jpg

866 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_174.jpg

817 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_175.jpg

995 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_176.jpg

965 kB
xet

Replaces the real world training dataset with images from the test dataset, as the data from Grok and Dall-e are build on a prompt that closely represent the test data set images. By adding the images from the test dataset and adding images that are not too similar to the test dataset, we improve consistency between all training datasets and add some challenge to the test dataset for all datasets 7 months ago
selected_image_18.jpg

1.02 MB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_19.jpg

883 kB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_2.jpg

1.11 MB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_20.jpg

1.04 MB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_21.jpg

884 kB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_22.jpg

743 kB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_23.jpg

822 kB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_24.jpg

822 kB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_25.jpg

452 kB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_26.jpg

829 kB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_27.jpg

879 kB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_28.jpg

870 kB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_29.jpg

1.01 MB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago
selected_image_3.jpg

941 kB
xet

Changes images in test set to prevent too high similarity between pictures and real world training set 7 months ago