Crack-Detection-Final Dataset

v2

Augmented Training Data v1

Generated on Oct 23, 2024

Dataset Split

Train Set 88%
498Images
Valid Set 8%
47Images
Test Set 4%
23Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x853

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images