Dataset Versions
Versions
v1
aug-noise-blur
Generated on Feb 17, 2022
2057 Total Images
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Dataset Split
Train Set 88%
1800Images
Valid Set 8%
172Images
Test Set 4%
85Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 6.25px