Dataset Versions
v7
2024-08-09 7:32pm
Generated on Aug 9, 2024
1029 Total Images
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Dataset Split
Train Set 87%
900Images
Valid Set 8%
86Images
Test Set 4%
43Images
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