GRAIN-SEGMENT Computer Vision Model
1759 Total Images
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Dataset Split
Train Set 92%
1626Images
Valid Set 6%
101Images
Test Set 2%
32Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±15° Vertical
Hue: Between -24° and +24°