Normal vs Abnormal Dataset

v29

Augmentation_Everything

Generated on Apr 27, 2024

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Dataset Split

Train Set 79%
288Images
Valid Set 15%
56Images
Test Set 5%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Hue: Between -10° and +10°
Saturation: Between -10% and +10%
Brightness: Between -5% and +5%
Exposure: Between -10% and +10%
Blur: Up to 0.2px
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 20% size each
Mosaic: Applied

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