Dataset Versions
v3
2025-01-03 10:27pm
Generated on Jan 3, 2025
573 Total Images
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Dataset Split
Train Set 87%
501Images
Valid Set 8%
48Images
Test Set 4%
24Images
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, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels