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2023-02-09 1:36pm
v4
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2 years ago
2023-02-09 11:55am
v3
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2 years ago
2023-02-09 11:24am
v2
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2 years ago
2023-02-09 11:23am
v1
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2 years ago
v4

2023-02-09 1:36pm

Generated on Feb 9, 2023
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Dataset Split

Train Set 84%
54Images
Valid Set 11%
7Images
Test Set 5%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -29% and +29%
Exposure: Between -15% and +15%

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