Dataset Versions
Versions
v1
2023-03-10 12:08am
Generated on Mar 9, 2023
3750 Total Images
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Dataset Split
Train Set 100%
3750Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1280x1280
Augmentations
Outputs per training example: 5
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