Dataset Versions

v1

2024-07-11 3:21pm

Generated on Jul 11, 2024

Dataset Split

Train Set 88%
3519Images
Valid Set 8%
333Images
Test Set 4%
167Images

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, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -33% and +33%
Brightness: Between -16% and +16%
Exposure: Between -12% and +12%
Blur: Up to 1.2px

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