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2024-09-27 5:28pm
v13
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3 months ago
2024-09-26 8:20am
v11
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3 months ago
2024-09-25 2:40pm
v10
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3 months ago
2024-09-25 9:12am
v8
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3 months ago
2024-09-25 9:11am
v7
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3 months ago
2024-09-25 9:11am
v6
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3 months ago
2024-09-23 8:16am
v4
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3 months ago
2024-09-15 11:17am
v3
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3 months ago
2024-09-15 8:03am
v2
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3 months ago
2024-09-15 7:45am
v1
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3 months ago
v11

2024-09-26 8:20am

Generated on Sep 26, 2024
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Dataset Split

Train Set 89%
512Images
Valid Set 7%
43Images
Test Set 4%
23Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Grayscale: Apply to 15% of images
Hue: Between -31° and +31°

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