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:
- e0ebf64d09fb7ac3ac0916ea2b7b5ec0bb74db185869c7b8eff3f24403e1645c
- Size of remote file:
- 456 kB
- SHA256:
- e1b6254adc223728f9741d6429a7901b279f9a8ec4c001abd1093f93aaf6375b
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