Computer Vision Annotation Tool: Difference between revisions

Revision as of 12:32, 31 March 2022

Revision as of 12:23, 16 September 2022

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| developer = [[Intel]]

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

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

| screenshot = cvat (2).jpg

| caption = CVAT version 2.0.0

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| language = English (US)

| genre = Image and video annotation tool

| license = [[MIT License]]<ref>{{cite web |url=https://github.com/openvinotoolkitopencv/cvat/blob/develop/LICENSE |title=cvat_LICENSE at develop · openvinotoolkitopencv/cvat |publisher=[[IntelCVAT.ai Corp.]] |website=GitHub}}</ref>

| website = {{URL|https://openvinotoolkitopencv.github.io/cvat/about/}}

}}

'''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. 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>

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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}}</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://openvinotoolkitopencv.github.io/cvat/docs/ |publisher=openvinotoolkitopencv |access-date=2021-07-29}}</ref>

CVAT is written mainly in [[TypeScript]], [[React (JavaScript library)|React]], [https://ant.design 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]].