Dataset Versions
Versions
v1
2024-02-01 2:16pm
Generated on Feb 1, 2024
885 Total Images
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Dataset Split
Train Set 88%
777Images
Valid Set 8%
71Images
Test Set 4%
37Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 6% Minimum Zoom, 18% Maximum Zoom
Shear: ±5° Horizontal, ±15° Vertical
Saturation: Between -12% and +12%
Brightness: Between -1% and +1%