Content deleted Content added
m Capitalising short description "free and open source, web-based image and video annotation tool" per WP:SDFORMAT (via Bandersnatch) |
Update the link on documentation |
||
Line 6:
| repo = {{URL|https://github.com/openvinotoolkit/cvat}}
| screenshot = cvat (2).jpg
| caption = CVAT version
| 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]]
Line 18:
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://openvinotoolkit.github.
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]].
| |||