Dataset Versions
v2
2024-02-11 1:55pm
Generated on Feb 11, 2024
3808 Total Images
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Dataset Split
Train Set 83%
3168Images
Valid Set 8%
300Images
Test Set 9%
340Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Blur: Up to 10px
Noise: Up to 0.3% of pixels