Image Classification Computer Vision Model
Versions
2807 Total Images
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Dataset Split
Train Set 87%
2442Images
Valid Set 9%
243Images
Test Set 4%
122Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -14° and +14°
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 0.8px