Dataset Versions
Versions
v1
2023-02-19 6:40pm
Generated on Feb 19, 2023
67 Total Images
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Dataset Split
Train Set 90%
60Images
Valid Set 6%
4Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -4° and +4°
Shear: ±5° Horizontal, ±2° Vertical
Grayscale: Apply to 31% of images
Saturation: Between -3% and +3%
Blur: Up to 1px
Noise: Up to 1% of pixels