Faculty of Engineering

defect detection

Instance Segmentation

defect detection Image Dataset

v6

2024-02-18 10:04am

Generated on Feb 18, 2024

Dataset Split

Train Set 87%
276Images
Valid Set 9%
27Images
Test Set 4%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px
Noise: Up to 1.8% of pixels
Bounding Box: Rotation: Between -15° and +15°