Wallets2 Dataset

v16

2024-05-26 11:43pm

Generated on May 26, 2024

Dataset Split

Train Set 88%
5823Images
Valid Set 8%
554Images
Test Set 4%
277Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±8° Horizontal, ±7° Vertical
Hue: Between -22° and +22°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 1.49% of pixels

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