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:
- 20bf63a15a1a5d043a35e9e525eab19f6d250325eb5ee956e5086e36971115bd
- Size of remote file:
- 477 kB
- SHA256:
- ac56ebfb1e05341cb57539805e893521b12d45e0787827841766fc6d18c71580
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