Dataset Versions
v4
2024-11-25 7:55pm
Generated on Nov 25, 2024
1099 Total Images
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Dataset Split
Train Set 88%
966Images
Valid Set 8%
89Images
Test Set 4%
44Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1980x1080
Modify Classes: 0 remapped, 6 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Saturation: Between -3% and +3%
Brightness: Between -2% and +2%
Exposure: Between -1% and +1%
