Welcome to our latest blog post! Today, we're here to guide you step-by-step through the process of installing the self-hosted version of CVAT on Linux. Whether you're a seasoned professional or a beginner, we've made sure this guide is easy to follow and straightforward.

Computer Vision Annotation Tool (CVAT) is an impactful solution for labeling and annotating videos and images, enabling effective machine learning and computer vision operations. Opting to host CVAT on your personal Linux system provides you with the advantage of utilizing CVAT's robust features while ensuring your data remains securely within your private network.

‍

We hope this guide simplifies your CVAT installation process on Linux. Stay tuned to our blog for more useful guides, tips, and updates.

For more detailed information, you can also refer to our documentation at https://opencv.github.io/cvat/docs/administration/basics/installation/.

Thank you for choosing CVAT, and happy annotating!

‍

We are waiting for your feedback here:

‍

Facebook

‍Discord

LinkedIn

Gitter

GitHub

‍

You can find more information at our YouTube channel