Dataset Versions
Versions
v2
2023-02-16 10:48pm
Generated on Feb 16, 2023
350 Total Images
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Dataset Split
Train Set 100%
350Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1280x1280
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Noise: Up to 5% of pixels
Cutout: 5 boxes with 10% size each