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
Download metrics/confusion_matrix_normalized.png from AlessandroFerrante/StreetSignSenseY12s: direct link, hf CLI and curl.
- Browser
- Download file 659 kB
-
https://huggingface.co/AlessandroFerrante/StreetSignSenseY12s/resolve/main/metrics/confusion_matrix_normalized.png
- Command line
-
hf download hf://AlessandroFerrante/StreetSignSenseY12s/metrics/confusion_matrix_normalized.png
-
curl -L -o confusion_matrix_normalized.png https://huggingface.co/AlessandroFerrante/StreetSignSenseY12s/resolve/main/metrics/confusion_matrix_normalized.png
659 kB

- Xet hash:
- bc90cb19f9db4eac49f617a7f3bff8444fed2218419f8792675e9a6b721e102e
- Size of remote file:
- 659 kB
- SHA256:
- 19e274560a5c0ae34460fbde7d4a589e2897b5f0f9b015beb2753f5248723d17
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