Dataset Versions
v3
2024-08-02 5:10pm
Generated on Aug 2, 2024
733 Total Images
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Dataset Split
Train Set 88%
642Images
Valid Set 8%
61Images
Test Set 4%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 1.25% of pixels