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2023-05-14 11:33pm
v7
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2 years ago
2023-05-14 11:30pm
v6
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2 years ago
2023-05-14 8:47pm
v5
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2 years ago
2023-05-14 5:15pm
v4
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2 years ago
2023-05-13 6:30pm
v3
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2 years ago
2023-05-13 6:28pm
v2
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2 years ago
2023-05-13 6:25pm
v1
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2 years ago
v2

2023-05-13 6:28pm

Generated on May 13, 2023
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4323 Total Images

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Dataset Split

Train Set 93%
4005Images
Valid Set 4%
159Images
Test Set 4%
159Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 3 remapped, 0 dropped
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Noise: Up to 1% of pixels

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