Dataset Versions
v1
2024-03-24 3:31pm
Generated on Mar 24, 2024
383 Total Images
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Dataset Split
Train Set 88%
336Images
Valid Set 8%
31Images
Test Set 4%
16Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px