Dataset Versions
v2
2023-10-30 1:54pm
Generated on Oct 30, 2023
506 Total Images
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Dataset Split
Train Set 90%
456Images
Valid Set 4%
20Images
Test Set 6%
30Images
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%
Exposure: Between -10% and +10%
Blur: Up to 5px