Dataset Versions
v2
2024-02-01 10:20am
Generated on Feb 1, 2024
459 Total Images
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Dataset Split
Train Set 78%
360Images
Valid Set 8%
39Images
Test Set 13%
60Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 15% of images
Brightness: Between -22% and +22%
Noise: Up to 0.1% of pixels