Dataset Versions
v3
2024-02-05 9:13pm
Generated on Feb 5, 2024
2052 Total Images
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Dataset Split
Train Set 80%
1650Images
Valid Set 10%
201Images
Test Set 10%
201Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 4-70% Vertical Region
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°
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.61% of pixels