Dataset Versions

v1

2022-11-08 10:00am

Generated on Nov 8, 2022

Dataset Split

Train Set 87%
102Images
Valid Set 9%
10Images
Test Set 4%
5Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 256x256
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Noise: Up to 3% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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