Dataset Versions
v3
2022-10-04 11:40am
Generated on Oct 4, 2022
538 Total Images
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Dataset Split
Train Set 88%
471Images
Valid Set 8%
45Images
Test Set 4%
22Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x384
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -25° and +25°
Shear: ±25° Horizontal, ±25° Vertical
Hue: Between -35° and +35°
Saturation: Between -40% and +40%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 0.25px