Computer Vision Annotation Tool

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Computer Vision Annotation Tool
Cvat (2).jpg
CVAT version 1.7.0
Developer(s)Intel
Initial releaseJune 29, 2018; 3 years ago (2018-06-29)
Repositorygithub.com/openvinotoolkit/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]
Websiteopenvinotoolkit.github.io/cvat/about/

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. 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 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.

Intel hosts a free demonstration installation online at cvat.org. (Registration required. No introduction there.)

See also[]

References[]

  1. ^ "cvat_LICENSE at develop · openvinotoolkit/cvat". GitHub. 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, openvinotoolkit, 2019-08-13, retrieved 2021-07-29

External links[]

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