Dataset Versions

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Versions
2023-06-14 10:55am
v8
·
a year ago
2023-05-23 8:56pm
v7
·
a year ago
2023-05-20 2:20am
v6
·
2 years ago
2023-03-15 10:26am
v5
·
2 years ago
2023-03-06 9:01pm
v4
·
2 years ago
2023-02-09 11:12am
v1
·
2 years ago
v5

2023-03-15 10:26am

Generated on Mar 15, 2023
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480 Total Images

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Dataset Split

Train Set 88%
420Images
Valid Set 8%
40Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -90° and +90°
Blur: Up to 1.5px

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