Dataset Versions

v5

2022-12-12 9:04am

Generated on Dec 12, 2022

Dataset Split

Train Set 94%
1248Images
Valid Set 4%
47Images
Test Set 3%
37Images

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, 15% Maximum Zoom
Hue: Between -10° and +10°
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 2px

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