cs classification Computer Vision Dataset
16040 Total Images
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Dataset Split
Train Set 95%
15240Images
Valid Set 5%
800Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 5
Grayscale: Apply to 15% of images
Hue: Between -53° and +53°
Saturation: Between -63% and +63%
Brightness: Between -30% and +30%
Exposure: Between -16% and +16%
Blur: Up to 2.9px
Noise: Up to 2.12% of pixels