Dataset Versions
v6
2024-12-01 5:58pm
Generated on Dec 1, 2024
7782 Total Images
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Dataset Split
Train Set 82%
6381Images
Valid Set 11%
842Images
Test Set 7%
559Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 3.5px
Noise: Up to 1.3% of pixels