Dataset Versions

v5

2024-08-02 4:48am

Generated on Aug 2, 2024

Dataset Split

Train Set 94%
4638Images
Valid Set 5%
243Images
Test Set 1%
61Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -16° and +16°
Shear: ±14° Horizontal, ±14° Vertical
Blur: Up to 4.6px
Noise: Up to 4.02% of pixels
Bounding Box: Shear: ±11° Horizontal, ±11° Vertical
Bounding Box: Brightness: Between -11% and +11%

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