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 /clear

2 contributors

History: 1 commit

Neatherblok

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

b41d179 7 months ago

PXL_20240605_131052977.jpg

7.26 MB
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
PXL_20240605_131054641.jpg

8.17 MB
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
PXL_20240605_131057128.jpg

7.71 MB
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
PXL_20240605_131058164.jpg

7.59 MB
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
PXL_20240605_131102251.jpg

7.61 MB
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
PXL_20240605_131103717.jpg

7.93 MB
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
PXL_20240605_131104898.jpg

7.44 MB
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
PXL_20240605_131107922.jpg

7.79 MB
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
PXL_20240605_131110542.jpg

6.09 MB
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
PXL_20240605_131113461.jpg

6.34 MB
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
PXL_20240605_131118005.jpg

5.89 MB
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
PXL_20240605_131119874.jpg

5.84 MB
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
PXL_20240605_131138955.jpg

5.68 MB
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
PXL_20240605_131140277.jpg

7.74 MB
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
PXL_20240605_131141221.jpg

8.01 MB
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
PXL_20240605_131155096.MP.jpg

9.19 MB
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
PXL_20240605_131156159.MP.jpg

9.25 MB
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
PXL_20240605_131157036.jpg

7.94 MB
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
PXL_20240605_131159993.jpg

8.6 MB
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
PXL_20240605_131201562.jpg

7.8 MB
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
PXL_20240605_131210360.jpg

6.22 MB
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
PXL_20240605_131228661.MP.jpg

10.1 MB
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
PXL_20240605_131230184.jpg

7.27 MB
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
PXL_20240605_131231898.jpg

7.02 MB
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
PXL_20240605_131430139.MP.jpg

9.44 MB
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
PXL_20240605_131430991.MP.jpg

11 MB
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
PXL_20240605_131432238.MP.jpg

10.1 MB
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
PXL_20240605_131433164.jpg

6.93 MB
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
PXL_20240605_131434351.jpg

6.33 MB
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
PXL_20240605_131435073.jpg

7.2 MB
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
PXL_20240605_131439466.jpg

7.85 MB
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
PXL_20240605_131440431.jpg

7.57 MB
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
PXL_20240605_131441186.jpg

7.15 MB
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
PXL_20240605_131444527.jpg

7.54 MB
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
PXL_20240605_131445526.jpg

7.63 MB
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
PXL_20240605_131447512.jpg

7.42 MB
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
PXL_20240605_131449896.jpg

7.19 MB
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
PXL_20240605_131452428.jpg

6.36 MB
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
PXL_20240605_131456517.jpg

7.22 MB
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
PXL_20240605_131458632.jpg

7.31 MB
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
PXL_20240605_131500216.jpg

7.06 MB
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
PXL_20240605_131513825.jpg

7.14 MB
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
PXL_20240605_131515370.jpg

7.15 MB
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
PXL_20240605_131517029.jpg

7.02 MB
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
PXL_20240605_131520010.jpg

6.41 MB
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
PXL_20240605_131522004.jpg

7.31 MB
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
PXL_20240605_131523329.jpg

7.03 MB
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
PXL_20240605_131529382.jpg

6.87 MB
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
PXL_20240605_131534937.jpg

7.79 MB
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
PXL_20240605_131538489.jpg

6.9 MB
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