Dataset Versions
Versions
v1
mask-aug-preproc
Generated on Feb 22, 2022
3381 Total Images
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Dataset Split
Train Set 87%
2955Images
Valid Set 8%
283Images
Test Set 4%
143Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Mosaic: Applied