How can I train YOLO

[glenn-jocher]

I have no GPUs.

[UltralyticsAssistant]

👋 Hello @glenn-jocher, thank you for your interest in Ultralytics 🚀! We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.

If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.

It sounds like you are working without GPUs. Don’t worry — YOLO is designed to work on both GPU and CPU environments. While GPUs provide faster training, you can train models on CPUs as well. For this setup, ensure you have the latest version installed and properly configured. 😊

Join the Ultralytics community where it suits you best. For real-time chat, head to Discord 🎧. Prefer in-depth discussions? Check out Discourse. Or dive into threads on our Subreddit to share knowledge with the community.

Upgrade

Upgrade to the latest ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8 to verify your issue is not already resolved in the latest version:

pip install -U ultralytics

Environments

YOLO can be run in environments optimized for both GPU and CPU. Here are some recommendations for training, even without GPU access:

• Notebooks with free GPU/CPU:
• Training on local CPU-only environment. If you have limited resources, you can reduce batch sizes and training configurations to match your system's capabilities.
• Explore cloud options like Google Colab or Paperspace for free training GPU runtimes.

Status

If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLO Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

An Ultralytics engineer will assist you soon if additional help is required. Thanks for your patience! 🚀