Instructions to use cvtechniques/TrafficSignDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use cvtechniques/TrafficSignDetection with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("cvtechniques/TrafficSignDetection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- d39b6818aefa6b075bb304423534a186516ef32338a8819f0f47ea9570a61163
- Size of remote file:
- 723 kB
- SHA256:
- 8a31cc3fb9380658d1fab0f581349325c4a04bc2349b4c280a00a56ca9747ec3
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