Dataset Versions
v3
2024-03-20 10:05pm
Generated on Mar 20, 2024
24410 Total Images
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Dataset Split
Train Set 92%
22442Images
Valid Set 2%
591Images
Test Set 6%
1377Images
Preprocessing
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -25% and +25%