Crack Computer Vision Model
1272 Total Images
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Dataset Split
Train Set 88%
1113Images
Valid Set 8%
106Images
Test Set 4%
53Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Brightness: Between 0% and +10%
Noise: Up to 2.59% of pixels