Annotate smarter with CVAT, the industry-leading data annotation platform for machine learning. Used and trusted by teams at any scale, for data of any scale.

Start using CVAT online: cvat.ai. You can use it for free, or subscribe to get unlimited data, organizations, autoannotations, and Roboflow and HuggingFace integration. Or set CVAT up as a self-hosted solution: Self-hosted Installation Guide.

Computer Vision Annotation Tool (CVAT) is a free, open source, web-based image and video annotation tool which is used for labeling data for computer vision algorithms. CVAT supports the primary tasks of supervised machine learning: object …

2023年5月1日 · cvat有两大最关键的功能：支持团队协作标注；自动化标注。这使得cvat很适合当作人工智能团队的标注工具，但尽管cvat提供了一个直观的在线版本，对于追求深度定制和团队使用的项目来说，本地部署则显得尤为重要。

CVAT is the premier open-source image and video annotation tool, empowering AI development with quality data. Thousands of teams use CVAT worldwide every day.

Computer Vision Annotation Tool (CVAT) is an open source, web-based image and video annotation tool used for labeling data for computer vision algorithms. Originally developed by Intel, CVAT is designed for use by a professional data annotation team, with a user interface optimized for computer vision annotation tasks. [2]

CVAT is a free, online, interactive video and image annotation tool for computer vision. It is being developed and used by CVAT.ai to annotate millions of objects with different properties. Many UI and UX decisions are based on feedbacks from professional data annotation team.

CVAT is free, online, interactive video and image annotation tool for computer vision. It is being used by our team to annotate million of objects with different properties. Many UI and UX decisions are based on feedbacks from professional data annotation team.

CVAT stands as a comprehensive tool for image and video annotation, essential for various computer vision tasks. It emphasizes user-friendliness, adaptability, and compatibility with a range of formats and tools.

2024年9月17日 · Learn to use CVAT with YOLOv8 models. Complete guide to annotation, training, and model integration for object detection.