Dataset Versions
v4
2023-06-03 6:29pm
Generated on Jun 3, 2023
572 Total Images
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Dataset Split
Train Set 94%
540Images
Valid Set 6%
32Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -27° and +27°
Shear: ±19° Horizontal, ±19° Vertical
Cutout: 5 boxes with 10% size each