Dataset Versions
v1
2025-01-05 8:21pm
Generated on Jan 5, 2025
3523 Total Images
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Dataset Split
Train Set 89%
3144Images
Valid Set 8%
268Images
Test Set 3%
111Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -5% and +5%
Exposure: Between -6% and +6%
Blur: Up to 1.8px
Noise: Up to 0.22% of pixels