Crack Segmentation Computer Vision Model
49 Total Images
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Dataset Split
Train Set 86%
42Images
Valid Set 8%
4Images
Test Set 6%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 227x227
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 47% Maximum Zoom
Shear: ±9° Horizontal, ±21° Vertical
Brightness: Between -38% and +38%
Exposure: Between -26% and +26%
Blur: Up to 1.75px