Dataset Versions
v2
2024-02-14 10:46am
Generated on Feb 14, 2024
353 Total Images
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Dataset Split
Train Set 94%
333Images
Valid Set 3%
10Images
Test Set 3%
10Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px