Dataset Versions
Versions
v1
2023-03-11 12:20am
Generated on Mar 10, 2023
2098 Total Images
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Dataset Split
Train Set 93%
1947Images
Valid Set 5%
101Images
Test Set 2%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Brightness: Between -30% and +30%
Blur: Up to 1px