Dataset Versions
v3
2023-03-28 10:56am
Generated on Mar 28, 2023
99 Total Images
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Dataset Split
Train Set 91%
90Images
Valid Set 4%
4Images
Test Set 5%
5Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 5
Flip: Horizontal
Saturation: Between -46% and +46%
Noise: Up to 5% of pixels
Cutout: 6 boxes with 33% size each
Bounding Box: Brightness: Between -61% and +61%
Bounding Box: Exposure: Between -55% and +55%
Bounding Box: Blur: Up to 10px