Dataset Versions
v3
2022-07-10 2:25am
Generated on Jul 9, 2022
4734 Total Images
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Dataset Split
Train Set 99%
4689Images
Valid Set %
0Images
Test Set 1%
45Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
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 -19° and +19°
Shear: ±6° Horizontal, ±0° Vertical
Noise: Up to 5% of pixels