Dataset Versions

v1

2022-09-12 11:50am

Generated on Sep 12, 2022

Dataset Split

Train Set 91%
75Images
Valid Set 7%
6Images
Test Set 1%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 256x256

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Brightness: Between -20% and +20%
Bounding Box: Brightness: Between -5% and +5%

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