Dataset Versions
v4
2022-12-29 8:06pm
Generated on Dec 29, 2022
27 Total Images
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Dataset Split
Train Set 89%
24Images
Valid Set 7%
2Images
Test Set 4%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 320x320
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical