Dataset Versions
v5
2024-08-29 2:15pm
Generated on Aug 29, 2024
1404 Total Images
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Dataset Split
Train Set 88%
1230Images
Valid Set 8%
116Images
Test Set 4%
58Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Hue: Between -17° and +17°
Saturation: Between -27% and +27%
Exposure: Between -15% and +15%
Noise: Up to 0.89% of pixels