Dataset Versions

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Versions
2023-09-28 11:31pm
v5
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a year ago
2023-09-21 4:57pm
v4
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a year ago
2023-09-12 10:49pm
v3
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a year ago
2023-09-08 2:03pm
v2
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a year ago
2023-09-02 9:30pm
v1
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a year ago
v3

2023-09-12 10:49pm

Generated on Sep 13, 2023
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Dataset Split

Train Set 88%
3840Images
Valid Set 8%
357Images
Test Set 4%
170Images

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
Brightness: Between 0% and +25%
Exposure: Between -15% and +15%
Noise: Up to 1% of pixels

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