Dataset Versions
Versions
v1
2022-10-20 4:43pm
Generated on Oct 20, 2022
144 Total Images
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Dataset Split
Train Set 97%
140Images
Valid Set 2%
3Images
Test Set 1%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 5
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 41% Maximum Zoom
Rotation: Between -23° and +23°
Shear: ±26° Horizontal, ±15° Vertical
Exposure: Between -39% and +39%
Blur: Up to 1.5px