Dataset Versions
v2
2024-04-20 9:45pm
Generated on Apr 20, 2024
4490 Total Images
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Dataset Split
Train Set 89%
3998Images
Valid Set 6%
249Images
Test Set 5%
243Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 19% of images