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WP:AFD
{{short description|free and open source, web-based image and video annotation tool}}
{{Infobox software
| name = Computer Vision Annotation Tool
| developer = [[Intel]]
| released = {{Start date and age|2018|06|29}}
| repo = {{URL|https://github.com/opencv/cvat}}
| screenshot = cvat.jpg
| caption = CVAT version 1.2.0
| programming language = [[JavaScript]], [[CSS]], [[Python (programming language)|Python]], [[HTML]], [[Django (web framework)|Django]]
| operating system = [[Windows 7]] or later, [[OS X 10.11]] or later, [[Linux]]
| language = English (US)
| genre = Image and video annotation tool
| license = [[MIT License]]<ref name="code-oss-license">{{cite web | url=https://github.com/opencv/cvat/blob/develop/LICENSE | title=LICENSE | publisher=[[Intel]] | work=github.com/opencv/cvat }}</ref>
| website = {{URL|https://cvat.org}}
}}
'''Computer Vision Annotation Tool''' (CVAT) is a [[Free and open-source software|free, open source]], [[Web application|web-based]] [[List of manual image annotation tools|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.<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> Try it online [https://cvat.org cvat.org].
CVATTO supportsbe theremoved primary- tasksCommercial ofTool [[SupervisedSponsored learning|supervisedby machineIntel 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/en-content/www/us/en/develop/articles/computer-vision-annotation-tool-a-universal-approach-to-data-annotation|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}}</ref>html)
Computer Vision Annotation Tool (CVAT) is an open source tool for annotating digital images and videos. The main function of the application is to provide users with convenient annotation instruments. For that purpose, we designed CVAT as a versatile service that has many powerful features.
CVAT has many powerful features, including [[interpolation]] of shapes between key frames, semi-automatic annotation using [[Deep learning|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://github.com/opencv/cvat/blob/develop/cvat/apps/documentation/user_guide.md|publisher=OpenCV|access-date=2019-08-13}}</ref>
CVAT is written mainly in [[TypeScript]], [[React (web framework)|React]], [https://ant.design Ant Design], [[Cascading Style Sheets|CSS]], [[Python (programming language)|Python]], and [[Django (web framework)|Django]]. It is distributed under the [[MIT License]], and its source code is available on [[GitHub]].
==See also==
* [[List of manual image annotation tools]]
* [[VoTT]]
* [https://github.com/topics/image-annotation Image annotation tools on GitHub]
* [https://www.datasetlist.com/tools/ Annotation tools for building datasets]
* [https://blog.roboflow.com/cvat/ Getting Started with CVAT - Annotation for Computer Vision]
* [https://medium.com/sicara/best-open-source-annotation-tools-in-computer-vision-4b9f6a18f911 Best Open Source Annotation Tools for Computer Vision]
* [https://heartbeat.fritz.ai/4-important-computer-vision-annotation-tools-you-need-to-know-in-2020-9f964931ed7 Four Important Computer Vision Annotation Tools you Need to Know in 2020]
* [https://bohemian.ai/blog/image-annotation-tools-which-one-pick-2020/ Image Annotation Tools: Which One to Pick in 2020?]
==References==
{{Reflist}}
==External link==
*[https://github.com/opencv/cvat Home page with documentation and source code]
{{Intel}}
[[Category:Datasets in computer vision]]
[[Category:Object recognition and categorization]]
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