Dataset Versions

Versions
2023-02-06 11:54am
v4
·
2 years ago
2023-02-04 6:27pm
v3
·
2 years ago
2023-02-02 6:18pm
v2
·
2 years ago
2023-02-01 5:13pm
v1
·
2 years ago
v4

2023-02-06 11:54am

Generated on Feb 6, 2023
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1801 Total Images

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Dataset Split

Train Set 88%
1582Images
Valid Set 8%
150Images
Test Set 4%
69Images

Preprocessing

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
Crop: 0% Minimum Zoom, 66% Maximum Zoom
Rotation: Between -45° and +45°

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