Dataset Versions

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Versions
2023-03-19 5:06pm
v3
·
2 years ago
2023-03-18 3:57am
v2
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2 years ago
2023-03-14 5:27pm
v1
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2 years ago
v3

2023-03-19 5:06pm

Generated on Mar 19, 2023
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140 Total Images

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Dataset Split

Train Set 96%
135Images
Valid Set 2%
3Images
Test Set 1%
2Images

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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