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:
- 620425215b5e0086555e0476f564338c85f9676e54e68f94cea4e70d3737eb43
- Size of remote file:
- 185 kB
- SHA256:
- c53afd942b881c9a0d0ad1226799d8b1272f7d6600c5519291a2c200597b5844
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