Instructions to use AlessandroFerrante/StreetSignSenseY12m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use AlessandroFerrante/StreetSignSenseY12m with ultralytics:
from ultralytics import YOLOvv12 model = YOLOvv12.from_pretrained("AlessandroFerrante/StreetSignSenseY12m") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ee333ec4a09cb01c0fb556f19dcb7c1db392dedd9afd19be73b0357842e2097
- Size of remote file:
- 31.3 kB
- SHA256:
- 65f8b9a3addc2e46ac715debd394ff806d5394df1749df52fb42d20a80b50bf9
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