Features • Wiki • Getting Started • Issues • License

COCO Annotator is a web-based image annotation tool designed for versatility and efficiently label images to create training data for image localization and object detection. It provides many distinct features including the ability to label an image segment (or part of a segment), track object instances, labeling objects with disconnected visible parts, efficiently storing and export annotations in the well-known COCO format. The annotation process is delivered through an intuitive and customizable interface and provides many tools for creating accurate datasets.

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Checkout the video for a basic guide on installing and using COCO Annotator.

Note: This video is from v0.1.0 and many new features have been added.

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Features

Several annotation tools are currently available, with most applications as a desktop installation. Once installed, users can manually define regions in an image and creating a textual description. Generally, objects can be marked by a bounding box, either directly, through a masking tool, or by marking points to define the containing area. COCO Annotator allows users to annotate images using free-form curves or polygons and provides many additional features were other annotations tool fall short.

Directly export to COCO format
Segmentation of objects
Ability to add key points
Useful API endpoints to analyze data
Import datasets already annotated in COCO format
Annotate disconnect objects as a single instance
Labeling image segments with any number of labels simultaneously
Allow custom metadata for each instance or object
Advanced selection tools such as, DEXTR, MaskRCNN and Magic Wand
Annotate images with semi-trained models
Generate datasets using google images
User authentication system

For examples and more information check out the wiki.

Demo

Login Information
Username: admin
Password: password

https://annotator.justinbrooks.ca/

Backers

If you enjoy the development of coco-annotator or are looking for an enterprise annotation tool, consider checking out DataTorch.

https://datatorch.io · support@datatorch.io · Next generation of coco-annotator

Built With

Thanks to all these wonderful libaries/frameworks:

Backend

Flask - Python web microframework
MongoDB - Cross-platform document-oriented database
MongoEngine - Python object data mapper for MongoDB

Frontend

Vue - JavaScript framework for building user interfaces
Axios - Promise based HTTP client
PaperJS - HTML canvas vector graphics library
Bootstrap - Frontend component library

License

MIT

Citation

  @MISC{cocoannotator,
    author = {Justin Brooks},
    title = {{COCO Annotator}},
    howpublished = "\url{https://github.com/jsbroks/coco-annotator/}",
    year = {2019},
  }

marchorse/coco-annotator