Dataset Versions

v3

2024-02-05 10:28pm

Generated on Feb 5, 2024

Dataset Split

Train Set 87%
1740Images
Valid Set 13%
249Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-74% Horizontal Region, 25-75% Vertical Region
Resize: Fit within 640x500
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 0% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±23° Horizontal, ±24° Vertical
Saturation: Between -18% and +18%
Brightness: Between -22% and +22%
Exposure: Between -11% and +11%
Blur: Up to 2.5px

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