Dataset Versions
v1
2023-11-02 3:22pm
Generated on Nov 2, 2023
771 Total Images
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Dataset Split
Train Set 88%
675Images
Valid Set 8%
64Images
Test Set 4%
32Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1000x1000
Grayscale: Applied
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 -45° and +45°
Shear: ±22° Horizontal, ±22° Vertical
Bounding Box: Shear: ±8° Horizontal, ±7° Vertical