Dataset Versions
Versions
v1
2023-11-16 10:31am
Generated on Nov 16, 2023
3918 Total Images
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Dataset Split
Train Set 88%
3429Images
Valid Set 8%
327Images
Test Set 4%
162Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±5° Horizontal, ±8° Vertical
Saturation: Between -10% and +10%
Brightness: Between -20% and +20%
Exposure: Between -3% and +3%
Blur: Up to 2.5px