Dataset Versions

v15

2023-03-27 4:43am

Generated on Mar 27, 2023

Dataset Split

Train Set 92%
4866Images
Valid Set 6%
302Images
Test Set 2%
115Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -23° and +23°
Shear: ±20° Horizontal, ±15° Vertical
Grayscale: Apply to 28% of images
Brightness: Between 0% and +38%
Noise: Up to 3% of pixels

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