Dataset Versions
v6
2023-11-26 12:57pm
Generated on Nov 26, 2023
254 Total Images
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Dataset Split
Train Set 89%
225Images
Valid Set 7%
19Images
Test Set 4%
10Images
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
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels