Dataset Versions
v5
2024-06-15 1:31pm
Generated on Jun 15, 2024
363 Total Images
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Dataset Split
Train Set 88%
318Images
Valid Set 9%
31Images
Test Set 4%
14Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Saturation: Between -30% and +30%
Blur: Up to 0.5px
Noise: Up to 1.4% of pixels