Chris
Hall
CVAT supports the widest variety of computer vision annotation tasks of any tool we have used or evaluated in the years I have worked in computer vision - classification, tracking, object detection, pose, attributes, and more! Gone are the days where we need to design our own labeling tool in-house to support a critical labeling feature. CVAT has multiple deployment paradigms which allow: working on locally in a development environment, deploying for a small team, or even deploying to a large team. It has a large, vibrant, active, responsive, and open community. The project’s documentation is extensive and helpful for developers and annotators alike. Many third party tools integrate with CVAT providing advanced features while not locking users into one suite of tools. The open-source model is empowering.
![Gary Bradski is an American scientist, engineer, entrepreneur, and author. He co-founded Industrial Perception, a company that developed perception applications for industrial robotic application (since acquired by Google in 2012 [2]) and has worked on the OpenCV Computer Vision library, as well as published a book on that library.](https://assets-global.website-files.com/62bebfb83044de7f13ae257e/630ccf712dfb2f4927d544f7_Gary.webp)
