Dataset Versions
Versions
v1
v1
Generated on Jun 2, 2023
18 Total Images
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Dataset Split
Train Set 83%
15Images
Valid Set 11%
2Images
Test Set 6%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 22% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±12° Horizontal, ±9° Vertical
Brightness: Between -16% and +16%
Blur: Up to 2.5px