Dataset Versions
v3
2024-03-07 7:05pm
Generated on Mar 7, 2024
3501 Total Images
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Dataset Split
Train Set 87%
3063Images
Valid Set 8%
292Images
Test Set 4%
146Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Brightness: Between -11% and +11%
Blur: Up to 4.8px
Noise: Up to 1.96% of pixels