Dataset Versions
Versions
v1
2024-06-11 7:21pm
Generated on Jun 11, 2024
5009 Total Images
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Dataset Split
Train Set 88%
4383Images
Valid Set 8%
417Images
Test Set 4%
209Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x480
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels