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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
v4

2023-05-14 5:15pm

Generated on May 14, 2023
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3959 Total Images

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Dataset Split

Train Set 87%
3459Images
Valid Set 6%
250Images
Test Set 6%
250Images

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 5% of pixels

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