Dataset Versions
v2
2023-05-01 3:28pm
Generated on May 1, 2023
5094 Total Images
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Dataset Split
Train Set 83%
4212Images
Valid Set 8%
430Images
Test Set 9%
452Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Modify Classes: 4 remapped, 0 dropped
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
Rotation: Between -14° and +14°