Dataset Versions
v5
2024-02-03 10:56pm
Generated on Feb 3, 2024
73 Total Images
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Dataset Split
Train Set 82%
60Images
Valid Set 11%
8Images
Test Set 7%
5Images
Preprocessing
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.8px