Project_Crack_Detection Computer Vision Model
2362 Total Images
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Dataset Split
Train Set 87%
2043Images
Valid Set 9%
222Images
Test Set 4%
97Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Noise: Up to 5% of pixels