Dataset Versions

v2

2022-12-23 3:48pm

Generated on Dec 23, 2022

Dataset Split

Train Set 89%
2178Images
Valid Set 8%
193Images
Test Set 3%
81Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
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

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