Crack Segmentation Dataset

v6

2023-08-27 1:33am

Generated on Aug 27, 2023

Dataset Split

Train Set 85%
393Images
Valid Set 9%
41Images
Test Set 7%
31Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 227x227
Auto-Adjust Contrast: Using Histogram Equalization
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