Dataset Versions
v3
2024-07-01 2:00pm
Generated on Jul 1, 2024
14 Total Images
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Dataset Split
Train Set 86%
12Images
Valid Set 7%
1Images
Test Set 7%
1Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Brightness: Between -20% and +20%
Blur: Up to 0.6px
Noise: Up to 2% of pixels