Dataset Versions
v3
2024-06-02 3:53pm
Generated on Jun 2, 2024
3273 Total Images
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Dataset Split
Train Set 90%
2946Images
Valid Set 6%
196Images
Test Set 4%
131Images
Preprocessing
Auto-Orient: Applied
Static Crop: 21-75% Horizontal Region, 25-75% Vertical Region
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -32% and +32%
Brightness: Between -8% and +8%
Blur: Up to 12.3px