Dataset Versions
v5
2024-02-02 11:09am
Generated on Feb 2, 2024
268 Total Images
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Dataset Split
Train Set 79%
213Images
Valid Set 3%
7Images
Test Set 18%
48Images
Preprocessing
Auto-Orient: Applied
Static Crop: 12-75% Horizontal Region, 19-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Saturation: Between -16% and +16%
Brightness: Between -14% and +14%
Blur: Up to 3.8px