Dataset Versions
v9
2023-05-03 5:30pm
Generated on May 3, 2023
177 Total Images
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Dataset Split
Train Set 75%
132Images
Valid Set 25%
44Images
Test Set 1%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -45° and +45°
Exposure: Between -5% and +5%
Blur: Up to 0.25px