Dataset Versions
v5
2024-02-07 8:45am
Generated on Feb 7, 2024
746 Total Images
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Dataset Split
Train Set 91%
676Images
Valid Set 6%
48Images
Test Set 3%
22Images
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: 4
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 9% Maximum Zoom
Rotation: Between -10° and +10°