Crack Segmentation Computer Vision Model
800 Total Images
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Dataset Split
Train Set 75%
600Images
Valid Set 13%
100Images
Test Set 12%
100Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 227x227
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 47% Maximum Zoom
Brightness: Between -38% and +38%
Exposure: Between -26% and +26%
Blur: Up to 1.75px