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2023-01-09 10:55pm
v4
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2 years ago
2023-01-09 10:53pm
v3
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2023-01-09 10:48pm
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2023-01-09 10:32pm
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v1

2023-01-09 10:32pm

Generated on Jan 9, 2023
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5460 Total Images

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Dataset Split

Train Set 80%
4380Images
Valid Set 10%
540Images
Test Set 10%
540Images

Preprocessing

Auto-Orient: Applied
Tile: 5 rows x 4 columns

Augmentations

Outputs per training example: 1
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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