Dataset Versions
v2
2024-06-07 8:59am
Generated on Jun 7, 2024
765 Total Images
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Dataset Split
Train Set 87%
669Images
Valid Set 8%
64Images
Test Set 4%
32Images
Preprocessing
Auto-Orient: Applied
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require at least 95% of images to contain annotations.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Noise: Up to 0.1% of pixels