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:
- e29e5f512960638b105c8c069c2208c1fa57eda5ad877f0efb8098045a554e4e
- Size of remote file:
- 218 kB
- SHA256:
- 4a7111484a9a358328b488951477f7e264a1d65932e370f62ad1c96e767516d5
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