Dataset Versions
v5
2024-12-06 5:18pm
Generated on Dec 6, 2024
3972 Total Images
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Dataset Split
Train Set 88%
3476Images
Valid Set 8%
336Images
Test Set 4%
160Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -12% and +12%
Blur: Up to 2.5px