Dataset Versions
Versions
v1
2024-02-24 12:11am
Generated on Feb 23, 2024
3876 Total Images
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Dataset Split
Train Set 82%
3192Images
Valid Set 12%
456Images
Test Set 6%
228Images
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: 20 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Cutout: 5 boxes with 10% size each