Dataset Versions

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Versions
2023-05-22 6:54pm
v7
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2 years ago
2023-05-22 4:14pm
v6
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2 years ago
2023-05-07 10:14pm
v5
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2 years ago
v6

2023-05-22 4:14pm

Generated on May 22, 2023
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Dataset Split

Train Set 94%
2541Images
Valid Set 2%
50Images
Test Set 4%
100Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±4° Horizontal, ±3° Vertical
Saturation: Between -8% and +8%
Brightness: Between -3% and +3%
Exposure: Between -3% and +3%
Blur: Up to 4px

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