Dataset Versions
v4
2024-02-06 2:29pm
Generated on Feb 6, 2024
573 Total Images
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Dataset Split
Train Set 87%
501Images
Valid Set 8%
48Images
Test Set 4%
24Images
Preprocessing
Auto-Orient: Applied
Static Crop: 52-90% Horizontal Region, 43-85% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 9% Maximum Zoom
Rotation: Between -10° and +10°