Dataset Versions
v6
2024-12-07 5:13pm
Generated on Dec 7, 2024
4948 Total Images
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Dataset Split
Train Set 88%
4332Images
Valid Set 8%
416Images
Test Set 4%
200Images
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