Distraction_Classification Computer Vision Dataset
Versions
12054 Total Images
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Dataset Split
Train Set 88%
10548Images
Valid Set 8%
1004Images
Test Set 4%
502Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Exposure: Between -3% and +3%
Blur: Up to 1px
Noise: Up to 1% of pixels