Ulcer_segmentation Computer Vision Model
419 Total Images
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Dataset Split
Train Set 88%
368Images
Valid Set 8%
34Images
Test Set 4%
17Images
Preprocessing
Auto-Orient: Applied
Static Crop: 4-97% Horizontal Region, 4-99% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -25% and +25%