Dataset Versions
v1
2024-09-09 8:17am
Generated on Sep 9, 2024
11091 Total Images
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Dataset Split
Train Set 88%
9708Images
Valid Set 8%
922Images
Test Set 4%
461Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±25° Horizontal, ±12° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4.9px