Dataset Versions
v1
2023-04-28 2:41pm
Generated on Apr 28, 2023
884 Total Images
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Dataset Split
Train Set 88%
774Images
Valid Set 8%
73Images
Test Set 4%
37Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±20° Horizontal, ±20° Vertical