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2023-01-13 1:49pm
v7
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2 years ago
2023-01-13 1:23pm
v6
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2 years ago
2023-01-13 1:20pm
v5
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2 years ago
2023-01-13 1:18pm
v4
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2 years ago
2023-01-13 12:46pm
v3
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2 years ago
2023-01-13 12:36pm
v2
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2 years ago
2023-01-13 12:29pm
v1
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2 years ago
v7

2023-01-13 1:49pm

Generated on Jan 13, 2023
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251 Total Images

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Dataset Split

Train Set 90%
225Images
Valid Set 6%
16Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Saturation: Between -62% and +62%
Exposure: Between -43% and +43%
Blur: Up to 5px

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