Dataset Versions
v8
2023-11-27 9:29pm
Generated on Nov 27, 2023
470 Total Images
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Dataset Split
Train Set 89%
420Images
Valid Set 8%
36Images
Test Set 3%
14Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down