guides/raspberry-pi

[giscus[bot]]

guides/raspberry-pi

Learn how to deploy Ultralytics YOLO11 on Raspberry Pi with our comprehensive guide. Get performance benchmarks, setup instructions, and best practices.

https://docs.ultralytics.com/guides/raspberry-pi

[UltralyticsAssistant]

👋 Hello, thank you for sharing your interest in Ultralytics 🚀! For users exploring deployment on Raspberry Pi, we recommend checking out the Raspberry Pi Deployment Guide for setup instructions, performance benchmarks, and best practices.

If this is a 🐛 Bug Report related to Raspberry Pi usage, please provide a minimum reproducible example to help us identify and resolve the issue.

If you have ❓ Questions or need further guidance, be sure to include details like the Raspberry Pi model, software versions, and any error logs you’re encountering. Following our Tips for Best Results can also help optimize your experience.

Feel free to engage with the Ultralytics community to share insights or seek inspiration! For real-time support, consider joining our Discord server 🎧. For longer discussions or troubleshooting, visit Discourse. Or dive into the Subreddit to connect with fellow enthusiasts.

Upgrade

Ensure you’re using the latest version of the ultralytics package to access the newest features and fixes. Upgrade in a Python>=3.8 environment with:

pip install -U ultralytics

Raspberry Pi Environments

To explore YOLO on Raspberry Pi, ensure compatible dependencies like Python and PyTorch are installed. For automated and remote workflows, consider using Notebooks with free GPU to validate your setup:

Alternatively, for heavy processing, consider cloud solutions like Google Cloud, AWS, or Docker Images—refer to our environment quickstart guides linked above.

Status

If this badge appears green, all Ultralytics CI tests are passing, ensuring the reliability of YOLO across supported environments.

This is an automated response, but don’t worry—a member of the Ultralytics team will review your discussion and assist you shortly 😊