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v4
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v3
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v2
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v2

v2

Generated on Mar 22, 2024
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3890 Total Images

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Dataset Split

Train Set 92%
3590Images
Valid Set 5%
200Images
Test Set 3%
100Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Blur: Up to 0.6px

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