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2024-06-11 1:05pm
v5
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5 months ago
2024-06-07 9:45am
v4
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6 months ago
2024-06-07 9:24am
v3
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6 months ago
2024-06-07 8:59am
v2
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6 months ago
2024-06-07 1:20am
v1
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6 months ago
v5

2024-06-11 1:05pm

Generated on Jun 11, 2024
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Dataset Split

Train Set 91%
939Images
Valid Set 6%
64Images
Test Set 3%
32Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 15% of images
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels

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