GithubHelp home page GithubHelp logo

crazycoderli / labelbee-client Goto Github PK

View Code? Open in Web Editor NEW

This project forked from open-mmlab/labelbee-client

0.0 0.0 0.0 39.02 MB

Out-of-the-box Annotation Toolbox

License: Apache License 2.0

JavaScript 30.87% TypeScript 62.67% HTML 0.90% CSS 0.17% SCSS 5.21% Python 0.17%

labelbee-client's Introduction

LabelBee-Client

Releases · Getting Started · 简体中文

Features

  • 📦 Out of the Box, built-in six annotation tools, simple configurations
  • 🪵 Flexible combinations, multiple tools can directly rely on each other
  • 💻 Multiple operating systems: Mac / Linux / Windows
  • 🏁 Support Data Formats
General Data COCO Semantic Segmentation Mask
Export ✔️ ✔️ ✔️
Import ✔️

Download

Mac / Windows / Linux

Support Scenes

  • Detection: Detection scenes for vehicles, license plates, pedestrians, faces, industrial parts, etc.
  • Classification: Detection of object classification, target characteristics, right and wrong judgments, and other classification scenarios
  • Semantic segmentation: Human body segmentation, panoramic segmentation, drivable area segmentation, vehicle segmentation, etc.
  • Text transcription: Text detection and recognition of license plates, invoices, insurance policies, signs, etc.
  • Contour detection: positioning line scenes such as human contour lines, lane lines, etc.
  • Key point detection: positioning scenes such as human face key points, vehicle key points, road edge key points, etc.

Detection / Segmentation

Line / Point / Text

Usage

Annotation Format

{
  "width": 4368,
  "height": 2912,
  "valid": true,
  "rotate": 0,
  "step_1": {
    "toolName": "rectTool",
    "result": [
      {
        "x": 530.7826086956522,
        "y": 1149.217391304348,
        "width": 1314.7826086956522,
        "height": 1655.6521739130435,
        "attribute": "",
        "valid": true,
        "id": "Rp1x6bZs",
        "sourceID": "",
        "textAttribute": "",
        "order": 1
      }
    ]
  }
}

For details, click to view LabelBee Annotation Format

Links

LICENSE

This project is released under the Apache 2.0 license.

labelbee-client's People

Contributors

kerwin-l avatar glenfiddish avatar linxiaoya avatar silviali0 avatar zhchbin avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.