Dataset Versions
v4
2024-03-29 5:32pm
Generated on Mar 29, 2024
1878 Total Images
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Dataset Split
Train Set 88%
1656Images
Valid Set 9%
175Images
Test Set 3%
47Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between -53% and +53%
Blur: Up to 2.8px