bread-segmentation Computer Vision Model
Versions
76 Total Images
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Dataset Split
Train Set 87%
66Images
Valid Set 9%
7Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -10% and +10%
Cutout: 3 boxes with 10% size each