Dataset Versions
v4
2023-02-18 10:29pm
Generated on Feb 18, 2023
1880 Total Images
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Dataset Split
Train Set 86%
1626Images
Valid Set 9%
161Images
Test Set 5%
93Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°