Dataset Versions
v2
2023-11-30 1:46pm
Generated on Nov 30, 2023
1370 Total Images
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Dataset Split
Train Set 84%
1155Images
Valid Set 9%
120Images
Test Set 7%
95Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 2.5px