v1

2024-07-02 8:21am

Generated on Jul 2, 2024

Dataset Split

Train Set 87%
3390Images
Valid Set 8%
328Images
Test Set 4%
164Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -30% and +30%
Brightness: Between -22% and +22%
Exposure: Between -10% and +10%
Blur: Up to 0.8px
Noise: Up to 0.77% of pixels

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