Dataset Versions
v6
2024-07-15 4:57am
Generated on Jul 15, 2024
3812 Total Images
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Dataset Split
Train Set 88%
3336Images
Valid Set 8%
317Images
Test Set 4%
159Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels