Dataset Versions
v5
2024-08-19 6:58pm
Generated on Aug 19, 2024
10807 Total Images
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Dataset Split
Train Set 88%
9459Images
Valid Set 8%
899Images
Test Set 4%
449Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1.5px