Dataset Versions
v1
2023-05-17 4:48pm
Generated on May 17, 2023
3908 Total Images
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Dataset Split
Train Set 82%
3216Images
Valid Set 12%
460Images
Test Set 6%
232Images
Preprocessing
Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Modify Classes: 24 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Cutout: 5 boxes with 10% size each