GP

GP

Classification

GP Image Dataset

v1

2024-02-05 3:57am

Generated on Feb 5, 2024

Dataset Split

Train Set 100%
1992Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Noise: Up to 1.06% of pixels

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