https://github.com/open-mmlab/labelbee-client

Out-of-the-box Annotation Toolbox
https://github.com/open-mmlab/labelbee-client

annotation-tool

Last synced: 2 months ago
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Out-of-the-box Annotation Toolbox

• Host: GitHub
• URL: https://github.com/open-mmlab/labelbee-client
• Owner: open-mmlab
• License: apache-2.0
• Created: 2021-12-03T12:57:09.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-04-19T09:59:23.000Z (about 1 year ago)
• Last Synced: 2025-03-29T21:04:16.100Z (2 months ago)
• Topics: annotation-tool
• Language: JavaScript
• Homepage:
• Size: 39.1 MB
• Stars: 389
• Watchers: 8
• Forks: 52
• Open Issues: 14
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

Awesome Lists containing this project

README

        


    


    
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](https://github.com/open-mmlab/labelbee-client/releases)

## 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

-  [Getting Started](./docs/README.md) 

## Annotation Format

```json

{

  "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](./docs/annotation/README.md)

## Important

js can't export 8bit unsign Int image, so a python script is provided to solve this problem

- [Script] (https://github.com/open-mmlab/labelbee-client/blob/main/scripts/dataTransfer.py)

## Links

- [LabelBee](https://github.com/open-mmlab/labelbee)（Powered by LabelBee）

## LICENSE

This project is released under the [Apache 2.0 license](./LICENSE).