Dataset Versions
v6
2023-03-18 6:20pm
Generated on Mar 18, 2023
63 Total Images
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Dataset Split
Train Set 86%
54Images
Valid Set 8%
5Images
Test Set 6%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -40% and +40%
Brightness: Between -45% and +45%
Exposure: Between -25% and +25%
Blur: Up to 1.5px