Dataset Versions
v2
2023-11-24 11:30pm
Generated on Nov 24, 2023
985 Total Images
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Dataset Split
Train Set 88%
870Images
Valid Set 8%
78Images
Test Set 4%
37Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 2 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 14% Maximum Zoom
Shear: ±24° Horizontal, ±25° Vertical
Grayscale: Apply to 25% of images
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -30% and +30%
Bounding Box: Blur: Up to 2.5px