Dataset Versions

Versions
2023-04-24 3:29pm
v6
·
2 years ago
2023-04-24 3:28pm
v5
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2 years ago
2023-04-24 3:09pm
v4
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2 years ago
2023-04-24 3:08pm
v3
·
2 years ago
2023-04-21 11:49am
v2
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2 years ago
2023-04-21 11:48am
v1
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2 years ago
v3

2023-04-24 3:08pm

Generated on Apr 24, 2023
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984 Total Images

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Dataset Split

Train Set 100%
984Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 750x750

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 21% Maximum Zoom
Rotation: Between -45° and +45°
Cutout: 3 boxes with 24% size each

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