Dataset Versions
v2
2023-05-21 3:38pm
Generated on May 21, 2023
11750 Total Images
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Dataset Split
Train Set 92%
10848Images
Valid Set 7%
803Images
Test Set 1%
99Images
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°
Saturation: Between -51% and +51%
Brightness: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 1% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 1% of pixels