Instructions to use spencercdz/YOLOv8m_defence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use spencercdz/YOLOv8m_defence with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("spencercdz/YOLOv8m_defence") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
License Conflict
Hi, Iβd like to report a potential license conflict in spencercdz/YOLOv8m_defence. From what I can tell, this model appears to be an fine-tune version ofUltralytics/YOLOv8, which is licensed under the AGPL-3.0 . However, this model is currently released under the Apache 2.0 license; given the "Disclose Source" and "Same License" restrictions inherent in the AGPL-3.0 license, potential compatibility issues may exist between the two.
β οΈ Key Violations of the AGPL-3.0 License:
Provide a copy of the AGPL 3.0 license.
Modified versions must be distributed under the AGPL 3.0 license
The AGPL 3.0 license include a link to the Licensed Material
πΉ Suggestions for Resolving
To align with the AGPL-3.0 license:
Replace the apache2.0 license reference with AGPL 3.0 License
Hope this helps clarify the situation! Let me know if you have any questions or need help updating the license terms β happy to assist π Let me know if I misunderstood anything β happy to help clarify further!
Thanks for your attention!