Instructions to use AlessandroFerrante/StreetSignSenseY12s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use AlessandroFerrante/StreetSignSenseY12s with ultralytics:
from ultralytics import YOLOvv12 model = YOLOvv12.from_pretrained("AlessandroFerrante/StreetSignSenseY12s") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 55bed73db47e2485e389b132d16660f2dabd2341d38b174ba0095457f52e24f8
- Size of remote file:
- 249 kB
- SHA256:
- 88e97b4fa336e4bb61f0d2d142128d71517f1a7f7fe19fff0e394e61786c0b97
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