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5ibnu/cvat-ui

By 5ibnu

•Updated almost 6 years ago

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5ibnu/cvat-ui repository overview

⁠Computer Vision Annotation Tool (CVAT)

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CVAT is free, online, interactive video and image annotation tool for computer vision. It is being used by our team to annotate million of objects with different properties. Many UI and UX decisions are based on feedbacks from professional data annotation team. Try it online cvat.org⁠.

CVAT screenshot

⁠Documentation

⁠Screencasts

⁠Supported annotation formats

Format selection is possible after clicking on the Upload annotation and Dump annotation buttons. Datumaro⁠ dataset framework allows additional dataset transformations via its command line tool and Python library.

⁠Deep learning models for automatic labeling

NameTypeFramework
Deep Extreme Cut⁠interactorOpenVINO
Faster RCNN⁠detectorTensorFlow
Mask RCNN⁠detectorOpenVINO
YOLO v3⁠detectorOpenVINO
Text detection v4⁠detectorOpenVINO
Semantic segmentation for ADAS⁠detectorOpenVINO
Mask RCNN⁠detectorTensorFlow
Object reidentification⁠reidOpenVINO

⁠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 tasks are visible to users.

Disabled features:

Limitations:

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

⁠REST API

Automatically generated Swagger documentation for Django REST API is available on <cvat_origin>/api/swagger (default: localhost:8080/api/swagger).

Swagger documentation is visiable on allowed hostes, Update environement variable in docker-compose.yml file with cvat hosted machine IP or domain name. Example - ALLOWED_HOSTS: 'localhost, 127.0.0.1')

⁠LICENSE

Code released under the MIT License⁠.

⁠Questions

CVAT usage related questions or unclear concepts can be posted in our Gitter chat⁠ for quick replies from contributors 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 bug report) 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:

Tag summary

Content type

Image

Digest

Size

554.7 MB

Last updated

almost 6 years ago

docker pull 5ibnu/cvat-ui:v1.1.0-base