Dataset Versions
v4
2024-07-31 4:45am
Generated on Jul 31, 2024
445 Total Images
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Dataset Split
Train Set 94%
417Images
Valid Set 4%
18Images
Test Set 2%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -26° and +26°
Saturation: Between -46% and +46%
Brightness: Between 0% and +50%
Exposure: Between -14% and +14%
Noise: Up to 1.53% of pixels