Yolo v8 to Yolo v11

[X901]

Hi,

I have trained my model with thousands of images. Do I need to retrain it for version v11?

what what I can do to move from v8 to v11 ?

is it worth it ?
like Will I get better result with v11 ?

[UltralyticsAssistant]

👋 Hello @X901, thank you for your interest in Ultralytics 🚀! We suggest checking out our Docs for guidance on the differences between versions and the transition process. This might also help address common questions you might have.

If you're considering upgrading to a newer version such as YOLOv11, you can install the latest package with:

pip install -U ultralytics

For performance and compatibility, it's often beneficial to retrain your model on the new version to take advantage of any improvements or new features.

For further inquiries or personalized advice, please include additional details about your current setup and goals. This can help us provide more tailored assistance.

Join our community for real-time discussions and support:

• Discord 🎧 for live chat
• Discourse for detailed discussions
• Subreddit for community knowledge sharing

This is an automated response, and an Ultralytics engineer will assist you soon. If you have specific questions, please provide a minimum reproducible example if applicable. This helps us troubleshoot your issues more effectively.

Happy experimenting with YOLO and good luck with your model transition! 😊

[glenn-jocher]

To move from YOLOv8 to YOLOv11, you'll need to retrain your model using the new architecture for optimal results. YOLOv11 offers improved accuracy and efficiency, so it may be worth considering for enhanced performance.