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2024-02-11 9:43pm
v6
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10 months ago
2024-02-11 9:42pm
v5
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10 months ago
2024-02-11 9:41pm
v4
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10 months ago
2024-02-08 7:48pm
v3
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10 months ago
2024-02-07 3:59pm
v2
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10 months ago
2024-02-01 10:45pm
v1
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10 months ago
v5

2024-02-11 9:42pm

Generated on Feb 11, 2024
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2384 Total Images

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Dataset Split

Train Set 90%
2144Images
Valid Set 5%
108Images
Test Set 6%
132Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -18% and +18%
Exposure: Between -14% and +14%

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