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.

CVAT is an interactive video and image annotation tool for computer vision. It is used by tens of thousands of users and companies around the world. Our mission is to help developers, companies, and organizations around the world to solve real …

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 …

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. Try …

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]

2022年9月5日 · Computer Vision Annotation Tool（CVAT）是一种免费和开放源代码的交互式在线工具，用于为Computer Vision算法注释视频和图像。 它提供了许多强大的功能，包括使用深度学习模型的自动注释，关键帧之间的边界框插值，LDAP等。

2023年5月1日 · Computer Vision Annotation Tool（CVAT）是一个强大的用于计算机视觉数据标注的开源工具。 它提供了一个灵活的平台，帮助用户为图像、视频等视觉数据添加 标注 信息。

2022年9月7日 · Computer Vision Annotation Tool（CVAT）是一个强大的用于计算机视觉数据标注的开源工具。它提供了一个灵活的平台，帮助用户为图像、视频等视觉数据添加标注信息。

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.

Label and annotate your data in semi-automatic and automatic mode with the help of AI and OpenCV tools. While interpolation is good for annotation of the videos made by the security cameras, AI and OpenCV tools are good for both: videos where the camera is stable and videos, where it moves together with the object, or movements of the object ...