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2023-04-02 10:30am
v7
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2 years ago
2023-03-29 10:49pm
v6
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2 years ago
2023-03-16 10:29pm
v5
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2 years ago
2023-03-16 10:26pm
v4
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2 years ago
2023-03-16 9:50pm
v3
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2 years ago
2023-03-16 9:44pm
v2
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2 years ago
2023-03-16 9:42pm
v1
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2 years ago
v6

2023-03-29 10:49pm

Generated on Mar 30, 2023
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3284 Total Images

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Dataset Split

Train Set 80%
2616Images
Valid Set 13%
440Images
Test Set 7%
228Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Modify Classes: 22 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Exposure: Between -15% and +15%
Mosaic: Applied

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