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Versions
2023-04-19 6:29pm
v4
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2 years ago
2023-04-19 6:27pm
v3
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2 years ago
2023-04-19 5:39pm
v2
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2 years ago
2023-04-19 4:21pm
v1
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2 years ago
v3

2023-04-19 6:27pm

Generated on Apr 19, 2023
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Dataset Split

Train Set 85%
237Images
Valid Set 8%
23Images
Test Set 7%
19Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Shear: ±8° Horizontal, ±11° Vertical
Saturation: Between -31% and +31%
Brightness: Between -10% and +10%
Noise: Up to 12% of pixels

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