Dataset Versions
v3
2024-02-01 5:35pm
Generated on Feb 1, 2024
8396 Total Images
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Dataset Split
Train Set 88%
7347Images
Valid Set 8%
699Images
Test Set 4%
350Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±45° Horizontal, ±12° Vertical
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2.8px