Classification Computer Vision Model
Versions
1047 Total Images
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Dataset Split
Train Set 94%
987Images
Valid Set 4%
40Images
Test Set 2%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 11 remapped, 0 dropped
Augmentations
Outputs per training example: 7
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px