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v7

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Generated on Nov 26, 2024
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Dataset Split

Train Set 91%
39Images
Valid Set 5%
2Images
Test Set 5%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 512x512
Modify Classes: 1 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Blur: Up to 1.8px
Noise: Up to 0.1% of pixels

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