Dataset Versions
v2
2024-08-02 4:51pm
Generated on Aug 2, 2024
206 Total Images
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Dataset Split
Train Set %
0Images
Valid Set 100%
206Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-77% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -18° and +18°
Grayscale: Apply to 16% of images
Exposure: Between -6% and +6%
Blur: Up to 0.9px
Noise: Up to 0.34% of pixels