Dataset Versions
v2
2024-09-12 5:58pm
Generated on Sep 12, 2024
246 Total Images
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Dataset Split
Train Set 82%
201Images
Valid Set 11%
28Images
Test Set 7%
17Images
Preprocessing
Auto-Orient: Applied
Static Crop: 5-85% Horizontal Region, 34-75% Vertical Region
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 0.8px