Dataset Versions
Versions
v1
2025-01-01 8:14pm
Generated on Jan 1, 2025
6447 Total Images
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Dataset Split
Train Set 85%
5448Images
Valid Set 11%
721Images
Test Set 4%
278Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -32% and +32%