Computer Vision Annotation Tool

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 was developed for use by a professional data annotation team, with a user interface optimized for computer vision annotation tasks.[2] Try it online cvat.org.

Computer Vision Annotation Tool
CVAT version 1.2.0
Developer(s)Intel
Initial releaseJune 29, 2018 (2018-06-29)
Repositorygithub.com/opencv/cvat
Written inJavaScript, CSS, Python, HTML, Django
Operating systemWindows 7 or later, OS X 10.11 or later, Linux
Available inEnglish (US)
TypeImage and video annotation tool
LicenseMIT License[1]
Websitecvat.org

CVAT supports the primary tasks of supervised machine learning: object detection, image classification, and image segmentation. CVAT allows users to annotate data for each of these cases.[3]

CVAT has many powerful features, including interpolation of shapes between key frames, semi-automatic annotation using Deep Learning models, shortcuts for most critical actions, a dashboard with a list of annotation projects and tasks, LDAP and basic access authentication, etc.[4]

CVAT is written mainly in TypeScript, React, Ant Design, CSS, Python, and Django. It is distributed under the MIT License, and its source code is available on GitHub.

See also

References
  1. "LICENSE". github.com/opencv/cvat. Intel.
  2. "Intel open-sources CVAT, a toolkit for data labeling". VentureBeat. 2019-03-05. Retrieved 2019-08-13.
  3. "Computer Vision Annotation Tool: A Universal Approach to Data Annotation". software.intel.com. 2019-03-04. Retrieved 2019-08-13.
  4. User's guide of Computer Vision Annotation Tool, OpenCV, 2019-08-13, retrieved 2019-08-13
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