Dataset Versions
v5
2024-11-02 4:46pm
Generated on Nov 2, 2024
384 Total Images
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Dataset Split
Train Set 89%
342Images
Valid Set 4%
14Images
Test Set 7%
28Images
Preprocessing
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Hue: Between -6° and +6°
Saturation: Between -7% and +7%
Brightness: Between -23% and +23%
Blur: Up to 1.1px
Noise: Up to 0.93% of pixels