Dataset Versions
v4
2024-02-18 10:11pm
Generated on Feb 19, 2024
4371 Total Images
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Dataset Split
Train Set 89%
3870Images
Valid Set 5%
200Images
Test Set 7%
301Images
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: ±10° Horizontal, ±10° Vertical
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.18% of pixels