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imglab

To speedup and simplify image labeling/ annotation process with multiple supported formats.

  • 语言HTML
  • 默认分支master
  • 大小206.5 MB
  • 更新8月18日
  • Issues40
在 GitHub 打开
avatarNaturalIntelligence

项目介绍

NaturalIntelligence/imglab 是一个托管在 GitHub 上的开源项目,主要使用 HTML 编写,采用 MIT License 许可证,目前获得 1.0k 个 Star、611 次 Fork。

仓库全名
NaturalIntelligence/imglab

README 摘要

imglab This project needs maintainers A web based tool to label images for objects that can be used to train dlib or other object detectors. With most users switching over to the new version of imglab, the legacy version of imglab has been removed. If you would like to be a maintainer/collaborator of this project/organization, please let me know. The only condition is that you need to be polite to any user feedback…

完整内容见 GitHub 原始 README 或本页 。

常见问题

imglab 用什么语言开发?

主要使用 HTML 编写,采用 MIT License 许可证,目前有 1.0k 个 Star。

imglab 可以免费商用吗?

仓库采用 MIT License 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 imglab 的源码?

可以直接克隆仓库:git clone https://github.com/NaturalIntelligence/imglab.git,默认分支为 master;安装与运行步骤见仓库 README。

imglab 最近还在维护吗?

仓库最近一次更新为 8月18日,当前有 40 个未关闭 Issue;Star 数为 1.0k,可作为社区活跃度的参考。

本页面展示项目元数据与原始 README,GitRead 中文社区 编辑团队负责选题收录。

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关于

annotatorcocodlibfaceplusplusfaceppfastimglablabellabel-imageslandmarklandmark-pointsmachine-learningnimnpascal-voctenserflow
  • MIT License
  • 1.0k Stars
  • 611 Forks
  • 41 Watching

简要分析

热度分
2286
价值分
799
活跃状态
活跃
GitHub

语言占比

CSS
HTML
JavaScript

贡献者

amitguptagwlamitguptagwlalextychanalextychanAcemadAcemadiKonstXiKonstXrohitkrishna094rohitkrishna094bhavayAnand9bhavayAnand9prajwaltulaweprajwaltulaweprithvihvprithvihvlopyoslopyosjboveejboveegowrimanoharirgowrimanoharir0sumrich0sumrich

imglab

This project needs maintainers

A web based tool to label images for objects that can be used to train dlib or other object detectors.

first-timers-only Bountysource

Become a Patron! Stubmatic donate button Donate using Liberapay

With most users switching over to the new version of imglab, the legacy version of imglab has been removed.

If you would like to be a maintainer/collaborator of this project/organization, please let me know. The only condition is that you need to be polite to any user feedback.

Looking for inters/contributors

Features

ImgLab is platform independent, runs directly from the browser, and has no prerequisites. It requires minimal CPU and memory.

Auto suggestion

Auto suggestion

Plugins

Plugins

Different Shapes

Plugins

Keyboard Shortcuts:

Hotkeys

Zoom In/Out:

Hotkeys

Other features:

  • Special attention for dlib users. You can easily adjust the order of parts / landmarks / featurepoints.
  • Open-source and free forever.
  • You can draw feature points and shapes (circles, rectangles, polygons). Other shapes like ellipses, lines, curves will be added in the future if there is demand.
  • Small project file so it can be shared over the mail. In निम्न (Nimn) data format
  • Multiple formats are supported
    • dlib XML
    • dlib pts
    • Pascal VOC
    • COCO
    • Tensorflow (in plan)

Other quality-of-life features:

  • Drag or resize any annotation shape.
  • Select and delete any annotation shape or landmark points.
  • Arrange landmark points in specific order by dragging their label up & down, instead of creating them in a particular order.
  • Autosave in browser cache. Export to save on disk.
  • Hotkeys support for easy switching between images, tools, labelling data, or to access other parts of the application for added convenience.
  • Set image opacity to highlight annotation shapes and points.
  • Tracking lines and mouse coordinates for precise annotations.

Visit the Features Documentation for a complete list of the features.

How to use

  • Importing images

To install locally, head to the Installation Guide.

How to use Imglab’s features:

  • Auto-suggestions
  • Plug-ins (Face++)
  • Creating shapes
  • Keyboard Shortcuts
  • Zooming in/out

Check the Demo Video tutorial/demonstration or the User Guide for more details.

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Built with

This application is built upon following technology stack.

  • jQuery
  • Bootstrap
  • Riot.js - Simple and elegant component-based UI library
  • SVG.js

Showcase your work

While using this library, if you happen to build an open database that can help other users or something you would like to showcase, please raise an issue or PR.

Worth to mention

  • Stubmatic : Mock web servers and services. Designed specialy for testers and testing.
  • अनुमार्गक (anumargak) : Amazing fast router for node web servers.
  • Cytorus: Now be specific and flexible while running E2E tests.
    • Run tests only for a particular User Story
    • Run tests for a route or from a route
    • Customizable reporting
    • Central dashboard for better monitoring
    • Options to integrate E2E tests with Jira, Github etc using Central dashboard Tian.

Note that All above mentioned projects are free to use and welcome contributors.

Contributors

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