DR-Classification Computer Vision Model
386 Total Images
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Dataset Split
Train Set 87%
336Images
Valid Set 9%
34Images
Test Set 4%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Saturation: Between -25% and +25%