Dataset Versions
v5
v4
Generated on Mar 18, 2024
3857 Total Images
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Dataset Split
Train Set 92%
3537Images
Valid Set 5%
200Images
Test Set 3%
120Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -14° and +14°
Shear: ±12° Horizontal, ±8° Vertical
Hue: Between -6° and +6°
Saturation: Between -7% and +7%
Exposure: Between -0% and +0%
Blur: Up to 0.1px