Dataset Versions

v13

2022-12-14 10:51pm

Generated on Dec 14, 2022

Dataset Split

Train Set 94%
2550Images
Valid Set 3%
83Images
Test Set 2%
67Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Hue: Between -20° and +20°
Saturation: Between -24% and +24%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px

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