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2023-08-17 1:42pm
v7
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a year ago
2023-08-17 1:35pm
v6
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a year ago
2023-06-28 11:28am
v5
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a year ago
2023-06-28 10:20am
v4
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a year ago
2023-06-28 9:42am
v3
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a year ago
v7

2023-08-17 1:42pm

Generated on Aug 17, 2023
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Dataset Split

Train Set 83%
30Images
Valid Set 6%
2Images
Test Set 11%
4Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -25% and +25%
Exposure: Between -5% and +5%
Blur: Up to 1px

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