Dataset Versions

v3

2024-08-05 8:58am

Generated on Aug 5, 2024

Dataset Split

Train Set 100%
132Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 1024x1024
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -5% and +5%
Brightness: Between 0% and +5%
Exposure: Between -5% and +5%
Blur: Up to 0.1px
Noise: Up to 0.1% of pixels

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