Wheel Defect Detection Dataset
Versions
v3
2024-08-01 5:41pm
Generated on Aug 1, 2024
867 Total Images
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Dataset Split
Train Set 97%
837Images
Valid Set 2%
20Images
Test Set 1%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 1% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±1° Horizontal, ±1° Vertical
Hue: Between -1° and +1°
Saturation: Between -10% and +10%
Brightness: Between -1% and +1%
Exposure: Between -1% and +1%
Blur: Up to 0.1px
Noise: Up to 0.02% of pixels