Help
Welcome to the Ultralytics Help page! We are dedicated to providing you with detailed resources to enhance your experience with the Ultralytics YOLO models and repositories. This page serves as your portal to guides and documentation designed to assist you with various tasks and answer questions you may encounter while engaging with our repositories.
- Frequently Asked Questions (FAQ): Find answers to common questions and issues encountered by the community of Ultralytics YOLO users and contributors.
- Contributing Guide: Discover the protocols for making contributions, including how to submit pull requests, report bugs, and more.
- Continuous Integration (CI) Guide: Gain insights into the CI processes we employ, complete with status reports for each Ultralytics repository.
- Contributor License Agreement (CLA): Review the CLA to understand the rights and responsibilities associated with contributing to Ultralytics projects.
- Minimum Reproducible Example (MRE) Guide: Learn the process for creating an MRE, which is crucial for the timely and effective resolution of bug reports.
- Code of Conduct: Our community guidelines support a respectful and open atmosphere for all collaborators.
- Environmental, Health and Safety (EHS) Policy: Delve into our commitment to sustainability and the well-being of all our stakeholders.
- Security Policy: Familiarize yourself with our security protocols and the procedure for reporting vulnerabilities.
- Privacy Policy: Read our privacy policy to understand how we protect your data and respect your privacy in all our services and operations.
We encourage you to review these resources for a seamless and productive experience. Our aim is to foster a helpful and friendly environment for everyone in the Ultralytics community. Should you require additional support, please feel free to reach out via GitHub Issues or our official discussion forums. Happy coding!
FAQ
What is Ultralytics YOLO and how does it benefit my machine learning projects?
Ultralytics YOLO (You Only Look Once) is a state-of-the-art, real-time object detection model. Its latest version, YOLO11, enhances speed, accuracy, and versatility, making it ideal for a wide range of applications, from real-time video analytics to advanced machine learning research. YOLO's efficiency in detecting objects in images and videos has made it the go-to solution for businesses and researchers looking to integrate robust computer vision capabilities into their projects.
For more details on YOLO11, visit the YOLO11 documentation.
How do I contribute to Ultralytics YOLO repositories?
Contributing to Ultralytics YOLO repositories is straightforward. Start by reviewing the Contributing Guide to understand the protocols for submitting pull requests, reporting bugs, and more. You'll also need to sign the Contributor License Agreement (CLA) to ensure your contributions are legally recognized. For effective bug reporting, refer to the Minimum Reproducible Example (MRE) Guide.
Why should I use Ultralytics HUB for my machine learning projects?
Ultralytics HUB offers a seamless, no-code solution for managing your machine learning projects. It enables you to generate, train, and deploy AI models like YOLO11 effortlessly. Unique features include cloud training, real-time tracking, and intuitive dataset management. Ultralytics HUB simplifies the entire workflow, from data processing to model deployment, making it an indispensable tool for both beginners and advanced users.
To get started, visit Ultralytics HUB Quickstart.
What is Continuous Integration (CI) in Ultralytics, and how does it ensure high-quality code?
Continuous Integration (CI) in Ultralytics involves automated processes that ensure the integrity and quality of the codebase. Our CI setup includes Docker deployment, broken link checks, CodeQL analysis, and PyPI publishing. These processes help maintain stable and secure repositories by automatically running tests and checks on new code submissions.
Learn more in the Continuous Integration (CI) Guide.
How is data privacy handled by Ultralytics?
Ultralytics takes data privacy seriously. Our Privacy Policy outlines how we collect and use anonymized data to improve the YOLO package while prioritizing user privacy and control. We adhere to strict data protection regulations to ensure your information is secure at all times.
For more information, review our Privacy Policy.
