Dataset Versions

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Versions
2023-11-22 12:56am
v5
·
a year ago
2023-11-21 11:50pm
v4
·
a year ago
2023-11-21 11:42pm
v3
·
a year ago
2023-09-21 4:51pm
v2
·
a year ago
2023-09-21 2:01pm
v1
·
a year ago
v1

2023-09-21 2:01pm

Generated on Sep 21, 2023
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Dataset Split

Train Set 82%
18Images
Valid Set 9%
2Images
Test Set 9%
2Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Hue: Between -80° and +80°
Saturation: Between -60% and +60%
Exposure: Between -25% and +25%
Bounding Box: Rotation: Between -45° and +45°

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