Dataset Versions
v5
2024-12-02 12:05pm
Generated on Dec 2, 2024
3480 Total Images
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Dataset Split
Train Set 77%
2684Images
Valid Set 11%
399Images
Test Set 11%
397Images
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%