{"id":13588884,"url":"https://github.com/jsbroks/coco-annotator","last_synced_at":"2025-05-14T02:08:04.285Z","repository":{"id":37502527,"uuid":"147256037","full_name":"jsbroks/coco-annotator","owner":"jsbroks","description":":pencil2: Web-based image segmentation tool for object detection, localization, and 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align=\"center\"\u003e\u003cimg src=\"https://i.imgur.com/AA7IdbQ.png\"\u003e\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"#features\"\u003eFeatures\u003c/a\u003e •\n  \u003ca href=\"https://github.com/jsbroks/coco-annotator/wiki\"\u003eWiki\u003c/a\u003e •\n  \u003ca href=\"https://github.com/jsbroks/coco-annotator/wiki/Getting-Started\"\u003eGetting Started\u003c/a\u003e •\n  \u003ca href=\"https://github.com/jsbroks/coco-annotator/issues\"\u003eIssues\u003c/a\u003e •\n  \u003ca href=\"#license\"\u003eLicense\u003c/a\u003e\n\u003c/p\u003e\n\n---\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"/jsbroks/coco-annotator/stargazers\"\u003e\n    \u003cimg src=\"https://img.shields.io/github/stars/jsbroks/coco-annotator.svg\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"/jsbroks/coco-annotator/issues\"\u003e\n    \u003cimg src=\"https://img.shields.io/github/issues/jsbroks/coco-annotator.svg\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://tldrlegal.com/license/mit-license\"\u003e\n    \u003cimg src=\"https://img.shields.io/github/license/mashape/apistatus.svg\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://lgtm.com/projects/g/jsbroks/coco-annotator/context:javascript\"\u003e\n    \u003cimg src=\"https://img.shields.io/lgtm/grade/javascript/g/jsbroks/coco-annotator.svg?label=code%20quality\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://annotator.justinbrooks.ca/\"\u003e\n    \u003cimg src=\"https://img.shields.io/badge/demo-online-green.svg\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://travis-ci.org/jsbroks/coco-annotator\"\u003e\n    \u003cimg src=\"https://travis-ci.org/jsbroks/coco-annotator.svg?branch=master\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://hub.docker.com/r/jsbroks/coco-annotator\"\u003e\n    \u003cimg src=\"https://img.shields.io/docker/pulls/jsbroks/coco-annotator.svg\"\u003e\n  \u003c/a\u003e\n\u003c/p\u003e\n\nCOCO 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](http://cocodataset.org/#format-data). The annotation process is delivered through an intuitive and customizable interface and provides many tools for creating accurate datasets.\n\n\n\u003cbr /\u003e\n\n\u003cp align=\"center\"\u003eJoin our growing \u003ca href=\"https://discord.gg/4zP5Qkj\"\u003ediscord community\u003c/a\u003e of ML practitioner\u003c/p\u003e\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://discord.gg/4zP5Qkj\"\u003e\n    \u003cimg src=\"https://discord.com/assets/e4923594e694a21542a489471ecffa50.svg\" width=\"120\"\u003e\n  \u003c/a\u003e\n\u003c/p\u003e\n\n\u003cbr /\u003e\n\n\u003cp align=\"center\"\u003e\u003ca href=\"http://www.youtube.com/watch?feature=player_embedded\u0026v=OMJRcjnMMok\" target=\"_blank\"\u003e\u003cimg src=\"https://img.youtube.com/vi/OMJRcjnMMok/maxresdefault.jpg\" \nalt=\"Image annotations using COCO Annotator\" width=\"600\" /\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp align=\"center\"\u003e\u003ci\u003eCheckout the video for a basic guide on installing and using COCO Annotator.\u003c/i\u003e\u003c/p\u003e\n\n\u003cbr /\u003e\n\n\u003cp align=\"center\"\u003e\u003cimg width=\"600\" src=\"https://i.imgur.com/m4RmjCp.gif\"\u003e\u003c/p\u003e\n\u003cp align=\"center\"\u003e\u003ci\u003eNote: This video is from v0.1.0 and many new features have been added.\u003c/i\u003e\u003c/p\u003e\n\n\n\u003cbr\u003e\n\n\u003cp align=\"center\"\u003eIf you enjoy my work please consider supporting me\u003c/p\u003e\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://www.patreon.com/jsbroks\"\u003e\n    \u003cimg src=\"https://c5.patreon.com/external/logo/become_a_patron_button@2x.png\" width=\"120\"\u003e\n  \u003c/a\u003e\n\u003c/p\u003e\n\u003cbr\u003e\n\n# Features\n\nSeveral 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.\n\n- Directly export to COCO format\n- Segmentation of objects\n- Ability to add key points\n- Useful API endpoints to analyze data\n- Import datasets already annotated in COCO format\n- Annotate disconnect objects as a single instance\n- Labeling image segments with any number of labels simultaneously\n- Allow custom metadata for each instance or object\n- Advanced selection tools such as, [DEXTR](https://github.com/jsbroks/dextr-keras), [MaskRCNN](https://github.com/matterport/Mask_RCNN) and Magic Wand\n- Annotate images with semi-trained models\n- Generate datasets using google images\n- User authentication system\n\nFor examples and more information check out the [wiki](https://github.com/jsbroks/coco-annotator/wiki).\n\n# Demo\n\n| Login Information      |\n| ---------------------- |\n| **Username:** admin    |\n| **Password:** password |\n\nhttps://annotator.justinbrooks.ca/\n\n# Backers\n\nIf you enjoy the development of coco-annotator or are looking for an enterprise annotation tool, consider checking out DataTorch.\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://datatorch.io\"\u003e\n    \u003cimg src=\"https://i.imgur.com/sOQ1s5F.png\" width=\"250\" /\u003e\n  \u003c/a\u003e\n  \u003cp align=\"center\"\u003e\n    https://datatorch.io · \u003ca href=\"mailto:support@datatorch.io\"\u003esupport@datatorch.io\u003c/a\u003e · \u003ci\u003eNext generation of coco-annotator\u003c/i\u003e\n   \u003c/p\u003e\n\u003c/p\u003e\n\n# Built With\n\nThanks to all these wonderful libaries/frameworks:\n\n### Backend\n\n- [Flask](http://flask.pocoo.org/) - Python web microframework\n- [MongoDB](https://www.mongodb.com/) - Cross-platform document-oriented database\n- [MongoEngine](http://mongoengine.org/) - Python object data mapper for MongoDB\n\n### Frontend\n\n- [Vue](https://vuejs.org/) - JavaScript framework for building user interfaces\n- [Axios](https://github.com/axios/axios) - Promise based HTTP client\n- [PaperJS](http://paperjs.org/) - HTML canvas vector graphics library\n- [Bootstrap](https://getbootstrap.com/) - Frontend component library\n\n# License\n\n[MIT](https://tldrlegal.com/license/mit-license)\n\n# Citation\n\n```\n  @MISC{cocoannotator,\n    author = {Justin Brooks},\n    title = {{COCO Annotator}},\n    howpublished = \"\\url{https://github.com/jsbroks/coco-annotator/}\",\n    year = {2019},\n  }\n```\n","funding_links":["https://www.patreon.com/jsbroks"],"categories":["Toolbox","Vue","Image / video","Data Annotation and Synthesis","Labeling Tools"],"sub_categories":["Label tools","Open source","Images"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjsbroks%2Fcoco-annotator","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjsbroks%2Fcoco-annotator","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjsbroks%2Fcoco-annotator/lists"}