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2023-06-04 10:39pm
v7
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a year ago
2023-06-04 7:54pm
v6
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a year ago
2023-06-04 6:30pm
v5
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a year ago
2023-06-04 6:20pm
v4
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a year ago
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v3
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a year ago
2023-06-04 3:12pm
v2
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a year ago
2023-06-02 5:43pm
v1
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a year ago
v7

2023-06-04 10:39pm

Generated on Jun 5, 2023
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1440 Total Images

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Dataset Split

Train Set 87%
1248Images
Valid Set 9%
128Images
Test Set 4%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise

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