Dataset Versions
v3
2024-05-31 3:07pm
Generated on May 31, 2024
4527 Total Images
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Dataset Split
Train Set 87%
3957Images
Valid Set 8%
379Images
Test Set 4%
191Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -25% and +0%
Exposure: Between -13% and +13%
Blur: Up to 1.7px