Dataset Versions

v8

2024-12-16 5:02pm

Generated on Dec 16, 2024

Dataset Split

Train Set 84%
900Images
Valid Set 9%
98Images
Test Set 7%
71Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Exposure: Between -20% and +20%
Bounding Box: Noise: Up to 0.65% of pixels

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