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Versions
2023-10-03 7:46am
v3
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a year ago
2023-09-21 6:22pm
v2
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a year ago
2023-09-20 8:17pm
v1
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a year ago
v3

2023-10-03 7:46am

Generated on Oct 3, 2023
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875 Total Images

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Dataset Split

Train Set 88%
769Images
Valid Set 8%
70Images
Test Set 4%
36Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 25% of images
Noise: Up to 1% of pixels

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