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Versions
2024-10-29 10:07pm
v14
·
2 months ago
2024-10-29 9:25pm
v13
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2 months ago
2024-10-29 9:21pm
v12
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2 months ago
2024-09-21 7:31pm
v11
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3 months ago
2024-09-19 10:16pm
v10
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3 months ago
2024-09-19 10:01pm
v9
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3 months ago
2024-09-19 9:54pm
v8
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3 months ago
2024-09-19 9:40pm
v7
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3 months ago
2024-09-19 6:18pm
v6
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3 months ago
2024-09-19 6:17pm
v5
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3 months ago
2024-09-11 1:56pm
v4
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3 months ago
2024-09-07 12:14pm
v3
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3 months ago
2024-08-21 2:10pm
v2
·
4 months ago
2024-08-05 4:30pm
v1
·
4 months ago
v8

2024-09-19 9:54pm

Generated on Sep 19, 2024
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1275 Total Images

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Dataset Split

Train Set 82%
1050Images
Valid Set 12%
150Images
Test Set 6%
75Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Grayscale: Applied
Filter Null: Require at least 10% of images to contain annotations.

Augmentations

Outputs per training example: 2
Noise: Up to 10% of pixels
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -10% and +10%

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