Dataset Versions
v3
2023-12-01 9:41am
Generated on Dec 1, 2023
10164 Total Images
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Dataset Split
Train Set 91%
9279Images
Valid Set 8%
811Images
Test Set 1%
74Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±22° Horizontal, ±16° Vertical
Saturation: Between -45% and +45%
Exposure: Between -9% and +9%
Noise: Up to 7% of pixels
Bounding Box: Rotation: Between -12° and +12°
Bounding Box: Shear: ±20° Horizontal, ±14° Vertical