Dataset Versions
v3
2024-01-20 1:52pm
Generated on Jan 20, 2024
84 Total Images
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Dataset Split
Train Set 89%
75Images
Valid Set 6%
5Images
Test Set 5%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 768x768
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Brightness: Between -24% and +24%
Exposure: Between -10% and +10%
Blur: Up to 0.8px