Dataset Versions
v3
2024-11-27 3:09pm
Generated on Nov 27, 2024
4088 Total Images
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Dataset Split
Train Set 88%
3591Images
Valid Set %
0Images
Test Set 12%
497Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Modify Classes: 1 remapped, 0 dropped
Filter Null: Require at least 38% of images to contain annotations.
Augmentations
Outputs per training example: 3
Bounding Box: Exposure: Between -45% and +45%
Bounding Box: Noise: Up to 4.69% of pixels