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Versions
2024-06-09 6:47pm
v15
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6 months ago
2024-06-07 5:20pm
v14
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6 months ago
2024-06-07 11:58am
v13
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6 months ago
2024-06-05 3:27pm
v12
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6 months ago
2024-06-05 3:26pm
v11
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6 months ago
none
v10
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6 months ago
2024-05-31 1:07pm
v9
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6 months ago
2024-05-30 5:14pm
v8
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6 months ago
2024-05-30 1:03pm
v7
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6 months ago
2024-05-30 11:10am
v6
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6 months ago
2024-05-29 4:39pm
v5
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6 months ago
2024-05-29 1:51am
v4
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6 months ago
2024-05-29 12:51am
v3
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6 months ago
2024-05-28 7:51pm
v2
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6 months ago
2024-05-28 4:27pm
v1
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6 months ago
v9

2024-05-31 1:07pm

Generated on May 31, 2024
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1559 Total Images

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Dataset Split

Train Set 88%
1365Images
Valid Set 6%
100Images
Test Set 6%
94Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 1024x1024

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 100% of images
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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