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| genre = Image and video annotation tool
| license = [[MIT License]]<ref>{{cite web |url=https://github.com/opencv/cvat/blob/develop/LICENSE |title=cvat_LICENSE at develop · opencv/cvat |publisher=[[CVAT.ai]] |website=GitHub}}</ref>
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'''Computer Vision Annotation Tool''' (CVAT) is an [[open-source software|open source]], [[web application|web-based]] [[list of manual image annotation tools|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.<ref>{{cite web |url=https://venturebeat.com/2019/03/05/intel-open-sources-cvat-a-toolkit-for-data-labeling/ |title=Intel open-sources CVAT, a toolkit for data labeling |date=2019-03-05 |website=VentureBeat |language=en-US |access-date=2019-08-13}}</ref>
CVAT supports the primary tasks of [[supervised learning|supervised machine learning]]: [[object detection]], [[image classification]], and [[image segmentation]]. CVAT allows users to annotate data for each of these cases.<ref>{{cite web |url=https://software.intel.com/content/www/us/en/develop/articles/computer-vision-annotation-tool-a-universal-approach-to-data-annotation.html |title=Computer Vision Annotation Tool: A Universal Approach to Data Annotation |date=2019-03-04 |website=software.intel.com |language=en |access-date=2019-08-13
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, [[Lightweight Directory Access Protocol|LDAP]] and [[basic access authentication]], etc.<ref>{{citation |title=User's guide of Computer Vision Annotation Tool |date=2019-08-13 |url=https://opencv.github.io/cvat/docs/ |publisher=CVAT.ai |access-date=2021-07-29}}</ref>
CVAT is written mainly in [[TypeScript]], [[React (JavaScript library)|React]],
CVAT team hosts an online version of the data annotation platform at
==See also==
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==External links==
* [https://github.com/topics/image-annotation Image annotation tools on GitHub]
* [https://www.datasetlist.com/tools/ Annotation tools for building datasets]
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