Computer Vision Annotation Tool: Difference between revisions

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{{Short description|Free and open source, web-based image and video annotation tool}}

WP:AFD

{{Infobox software

| name = Computer Vision Annotation Tool

| developer = [[CVAT.ai]]

| released = {{Start date and age|2018|06|29}}

| repo = {{URL|https://github.com/cvat-ai/cvat}}

| screenshot = cvat (2).jpg

| caption = CVAT version 2.0.0

| 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>{{cite web |url=https://github.com/opencv/cvat/blob/develop/LICENSE |title=cvat_LICENSE at develop · opencv/cvat |publisher=[[CVAT.ai]] |website=GitHub}}</ref>

| website = {{URL|https://www.cvat.ai/}}

}}

'''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>

TOCVAT besupports removedthe -primary Commercialtasks Toolof Sponsored[[supervised bylearning|supervised Intelmachine 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}}</ref>

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>

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 is written mainly in [[TypeScript]], [[React (JavaScript library)|React]], Ant Design, [[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]].

CVAT team hosts an online version of the data annotation platform at cvat.ai as [[SaaS]].

==See also==

* [[List of manual image annotation tools]]

* [[VoTT]]

==References==

{{Reflist}}

==External links==

* [https://github.com/topics/image-annotation Image annotation tools on GitHub]

* [https://www.datasetlist.com/tools/ Annotation tools for building datasets]

* [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?]

{{Intel}}

[[Category:Datasets in computer vision]]

[[Category:Object recognition and categorization]]