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2023-09-23 12:36am
v9
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a year ago
2023-09-07 6:34pm
v8
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a year ago
2023-08-20 12:29am
v7
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a year ago
2023-08-14 10:40pm
v6
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a year ago
2023-08-14 3:43pm
v5
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a year ago
2023-07-22 3:37am
v4
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a year ago
2023-07-22 2:59am
v3
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a year ago
2023-07-20 10:07pm
v2
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a year ago
2023-07-13 10:07pm
v1
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a year ago
v7

2023-08-20 12:29am

Generated on Aug 19, 2023
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Dataset Split

Train Set 90%
72Images
Valid Set 5%
4Images
Test Set 5%
4Images

Preprocessing

Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 25% of images
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels

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