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Augmentation
v2
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a year ago
v2

Augmentation

Generated on Dec 8, 2023
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141 Total Images

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Dataset Split

Train Set 100%
141Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -4° and +4°
Shear: ±5° Horizontal, ±5° Vertical
Blur: Up to 0.5px

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