Dataset Versions
v18
2024-10-02 8:43am
Generated on Oct 2, 2024
5680 Total Images
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Dataset Split
Train Set 88%
4977Images
Valid Set 8%
465Images
Test Set 4%
238Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -5° and +5°
Saturation: Between -12% and +12%
Exposure: Between -8% and +8%
Noise: Up to 0.22% of pixels