Dataset Versions

v1

2022-10-03 1:20am

Generated on Oct 2, 2022

Dataset Split

Train Set 82%
9Images
Valid Set 9%
1Images
Test Set 9%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -11° and +11°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 3px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 16% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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