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2023-09-08 5:46pm
v16
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a year ago
2023-09-08 5:01pm
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2023-09-05 8:22am
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2023-09-05 7:46am
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2023-06-03 1:36pm
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2023-02-27 2:44pm
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2023-02-23 2:36pm
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2023-02-23 2:01pm
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2023-02-23 1:29pm
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2023-02-23 11:19am
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2023-02-22 10:22pm
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2023-02-07 4:49pm
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2023-02-06 2:13pm
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2023-02-06 1:57pm
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2023-02-06 1:54pm
v1
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2 years ago
v16

2023-09-08 5:46pm

Generated on Sep 8, 2023
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965 Total Images

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Dataset Split

Train Set 91%
880Images
Valid Set 6%
57Images
Test Set 3%
28Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 24 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 5
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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