Dataset Versions
v6
Final Version
Generated on Jan 8, 2024
1955 Total Images
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Dataset Split
Train Set 82%
1605Images
Valid Set 12%
234Images
Test Set 6%
116Images
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: ±10° Horizontal, ±10° Vertical
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2.8px
Noise: Up to 1.5% of pixels