Dataset Versions

Versions
2023-02-24 10:50pm
v5
·
2 years ago
2023-02-24 10:47pm
v4
·
2 years ago
2023-02-23 5:18pm
v3
·
2 years ago
2023-02-23 4:01pm
v2
·
2 years ago
2023-02-23 2:56pm
v1
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2 years ago
v5

2023-02-24 10:50pm

Generated on Feb 24, 2023
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281 Total Images

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Dataset Split

Train Set 93%
261Images
Valid Set 4%
10Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Mosaic: Applied

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