Dataset Versions
v5
2024-11-30 2:27am
Generated on Nov 30, 2024
7622 Total Images
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Dataset Split
Train Set 82%
6240Images
Valid Set 11%
830Images
Test Set 7%
552Images
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