CVAT.ai (Computer Vision Annotation Tool) is a leading open-source platform tailored for image and video annotation, primarily serving the computer vision community. Initially developed by Intel, CVAT has evolved into a robust tool that supports a wide variety of annotation tasks, making it a preferred solution for developers, businesses, and organizations globally. Its main focus is to improve the quality of data used in machine learning models by providing efficient and accurate annotation capabilities. Operating under a data-centric AI paradigm, CVAT aims to enhance the development of machine learning systems by offering high-quality annotated datasets. The platform's features include various annotation tools such as bounding boxes, polylines, polygons, and keypoints, along with support for image classification, semantic segmentation, instance segmentation, and object tracking. CVAT also integrates seamlessly with popular tools like Hugging Face and Roboflow, facilitating data labeling and model management. The collaborative nature of CVAT allows multiple users to work on annotation projects simultaneously, significantly boosting workflow efficiency. Additionally, the platform offers automated and semi-automated annotation features to expedite the process, making it suitable for large-scale projects. CVAT is accessible via a web-based interface, eliminating the need for downloads or installations, thus enhancing usability for users worldwide. CVAT.ai has found applications across various industries, including healthcare for medical imaging, retail for product recognition, agriculture for crop monitoring, sports for athlete motion analysis, and automotive for vehicle tracking. Users can access CVAT online without downloading dependencies or opt for a self-hosted version for more control. For businesses requiring advanced features, an enterprise edition is available, offering professional training and support. While CVAT is open-source and customizable, it may lack some advanced workflow functionalities compared to other annotation tools. Overall, CVAT.ai stands out as a reliable, efficient, and cost-effective solution for image and video annotation, making it a valuable tool for diverse applications.