Computer Vision Annotation Tool: Difference between revisions

Revision as of 09:55, 14 August 2019

Latest revision as of 11:27, 3 May 2025

(30 intermediate revisions by 18 users not shown)

Line 1:

{{shortShort description|freeFree and open source, web-based image and video annotation tool}}

{{Infobox software

| name = Computer Vision Annotation Tool

| developer = [[IntelCVAT.ai]]

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

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

| screenshot = cvat (2).jpg

| caption = CVAT version 02.40.0

| 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=LICENSEcvat_LICENSE |at develop · opencv/cvat |publisher=[[IntelCVAT.ai]] | workwebsite=github.com/opencv/cvat GitHub}}</ref>

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

}}

'''Computer Vision Annotation Tool''' (CVAT) is aan [[Free and open-source software|free, open source]], [[Webweb application|web-based]] [[Listlist 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 wasis developeddesigned for use by a professional data annotation team, with a [[user interface]] optimized for computer vision annotation tasks.<ref>{{Citecite 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 [[Supervisedsupervised learning|supervised machine learning]]: [[object detection]], [[image classification]], and [[image segmentation]]. CVAT allows users to annotate data for each of these cases.<ref>{{Citecite web |url=https://software.intel.com/en-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 bounding boxesshapes between key frames, semi-automatic annotation using [[Deepdeep learning|Deep Learning]] models both in [https://software.intel.com/en-us/openvino-toolkit Intel OpenVINO] and [[TensorFlow]] Object Detection API formats, 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|last=|first=citation |title=User's guide of Computer Vision Annotation Tool |date=2019-08-13 |url=https://opencv.github.com/opencvio/cvat/blobdocs/develop/cvat/apps/documentation/user_guide.md|volume=|pages= |publisher=OpenCVCVAT.ai |access-date=20192021-0807-1329}}</ref>

CVAT is written mainly in [[JavaScriptTypeScript]], [[HTMLReact (JavaScript library)|React]], [[CascadingAnt StyleDesign, 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 [https://github.com/opencv/cvat [GitHub]<ref>{{Citation|title=Powerful and efficient Computer Vision Annotation Tool (CVAT): opencv/cvat|date=2019-08-13|url=https://github.com/opencv/cvat|publisher=OpenCV|access-date=2019-08-13}}</ref>].

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}}

==References==

{{reflist}}

[[Category:Datasets in computer vision]]

{{Uncategorized|date=August 2019}}

[[Category:Object recognition and categorization]]