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开源软件地址：

开源软件介绍：

Computer Vision Annotation Tool (CVAT)

CVAT is free, online, interactive video and image annotationtool for computer vision. It is being used by our team toannotate million of objects with different properties. Many UIand UX decisions are based on feedbacks from professional dataannotation team. Try it online cvat.org.

Documentation

• Contributing
• Installation guide
• Manual
• Django REST API documentation
• Datumaro dataset framework
• Command line interface
• XML annotation format
• AWS Deployment Guide
• Frequently asked questions
• Questions

Screencasts

• Introduction
• Annotation mode
• Interpolation of bounding boxes
• Interpolation of polygons
• Tag annotation video
• Attribute mode
• Segmentation mode
• Tutorial for polygons
• Semi-automatic segmentation

Supported annotation formats

Format selection is possible after clicking on the Upload annotation and Dumpannotation buttons. Datumarodataset framework allows additional dataset transformations via its commandline tool and Python library.

For more information about supported formats look at thedocumentation.

Deep learning serverless functions for automatic labeling

Online demo: cvat.org

This is an online demo with the latest version of the annotation tool.Try it online without local installation. Only own or assigned tasksare visible to users.

Disabled features:

• Analytics: management and monitoring of data annotation team

Limitations:

• No more than 10 tasks per user
• Uploaded data is limited to 500Mb

Prebuilt Docker images

Prebuilt docker images for CVAT releases are available on Docker Hub:

• cvat_server
• cvat_ui

REST API

The current REST API version is 2.0-alpha. We focus on its improvement and thereforeREST API may be changed in the next release.

LICENSE

Code released under the MIT License.

This software uses LGPL licensed libraries from the FFmpeg project.The exact steps on how FFmpeg was configured and compiled can be found in the Dockerfile.

FFmpeg is an open source framework licensed under LGPL and GPL.See https://www.ffmpeg.org/legal.html. You are solely responsiblefor determining if your use of FFmpeg requires anyadditional licenses. Intel is not responsible for obtaining anysuch licenses, nor liable for any licensing fees due inconnection with your use of FFmpeg.

Partners

• ATLANTIS is an open-source dataset for semantic segmentationof waterbody images, depevoped by iWERS group in theDepartment of Civil and Environmental Engineering at University of South Carolina, using CVAT.For developing a semantic segmentation dataset using CVAT, please checkATLANTIS published article,ATLANTIS Development Kitand annotation tutorial videos.
• Onepanel is an open sourcevision AI platform that fully integrates CVAT with scalable data processingand parallelized training pipelines.
• DataIsKey uses CVAT as their prime data labeling toolto offer annotation services for projects of any size.
• Human Protocol uses CVAT as a way of adding annotation service to the human protocol.
• Cogito Tech LLC, a Human-in-the-Loop Workforce Solutions Provider, used CVATin annotation of about 5,000 images for a brand operating in the fashion segment.
• FiftyOne is an open-source dataset curation and model analysistool for visualizing, exploring, and improving computer vision datasets and models that istightly integrated with CVATfor annotation and label refinement.

Questions

CVAT usage related questions or unclear concepts can be posted in ourGitter chat for quick replies fromcontributors and other users.

However, if you have a feature request or a bug report that can reproduced,feel free to open an issue (with steps to reproduce the bug if it's a bugreport) on GitHub* issues.

If you are not sure or just want to browse other users common questions,Gitter chat is the way to go.

Other ways to ask questions and get our support:

• #cvat tag on StackOverflow*
• Forum on Intel Developer Zone

Links

• Intel AI blog: New Computer Vision Tool Accelerates Annotation of Digital Images and Video

• Intel Software: Computer Vision Annotation Tool: A Universal Approach to Data Annotation

• VentureBeat: Intel open-sources CVAT, a toolkit for data labeling