Dataset Versions
v2
2024-01-31 10:55pm
Generated on Jan 31, 2024
4332 Total Images
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Dataset Split
Train Set 92%
4000Images
Valid Set 3%
132Images
Test Set 5%
200Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 21 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Brightness: Between -10% and +10%
Exposure: Between -3% and +3%
Blur: Up to 0.4px