DDonuts 2 Dataset

v7

2024-08-29 5:48am

Generated on Aug 29, 2024

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Dataset Split

Train Set 85%
2151Images
Valid Set 9%
221Images
Test Set 6%
164Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fit (reflect edges) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 10% of images
Brightness: Between -20% and +20%
Noise: Up to 1.8% of pixels

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