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https://github.com/vietanhdev/anylabeling

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!
https://github.com/vietanhdev/anylabeling

auto-labeling computer-vision labeling labeling-tool mobilesam onnx segment-anything yolov5 yolov8

Last synced: 12 days ago
JSON representation

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!

Host: GitHub
URL: https://github.com/vietanhdev/anylabeling
Owner: vietanhdev
License: gpl-3.0
Created: 2023-04-08T18:48:43.000Z (about 1 year ago)
Default Branch: master
Last Pushed: 2024-05-03T08:47:40.000Z (about 2 months ago)
Last Synced: 2024-05-21T12:23:25.011Z (about 1 month ago)
Topics: auto-labeling, computer-vision, labeling, labeling-tool, mobilesam, onnx, segment-anything, yolov5, yolov8
Language: Python
Homepage: https://anylabeling.nrl.ai
Size: 10.8 MB
Stars: 1,905
Watchers: 20
Forks: 208
Open Issues: 67
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Citation: CITATION.cff

Lists

awesome-stars - vietanhdev/anylabeling - assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!! (Python)
awesome-llm-and-aigc - AnyLabeling
awesome-yolo-object-detection - AnyLabeling - assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!! [anylabeling.nrl.ai](https://anylabeling.nrl.ai/) (Applications)
awesome-segment-anything-extensions - Repo
awesome-object-detection-datasets - AnyLabeling - labeling. (Summary)
awesome-stars - vietanhdev/anylabeling - Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!! (Python)

README

        


  

  
🌟 AnyLabeling 🌟

  Effortless data labeling with AI support from YOLO and Segment Anything!

  AnyLabeling = LabelImg + Labelme + Improved UI + Auto-labeling


![](https://user-images.githubusercontent.com/18329471/234640541-a6a65fbc-d7a5-4ec3-9b65-55305b01a7aa.png)

[![PyPI](https://img.shields.io/pypi/v/anylabeling)](https://pypi.org/project/anylabeling)

[![license](https://img.shields.io/github/license/vietanhdev/anylabeling.svg)](https://github.com/vietanhdev/anylabeling/blob/master/LICENSE)

[![open issues](https://isitmaintained.com/badge/open/vietanhdev/anylabeling.svg)](https://github.com/vietanhdev/anylabeling/issues)

[![Pypi Downloads](https://pepy.tech/badge/anylabeling)](https://pypi.org/project/anylabeling/)

[![Documentation](https://img.shields.io/badge/Read-Documentation-green)](https://anylabeling.nrl.ai/)

[![Follow](https://img.shields.io/badge/+Follow-vietanhdev-blue)]([[https://anylabeling.nrl.ai/](https://twitter.com/vietanhdev)](https://twitter.com/vietanhdev))

> +⭐ Follow [vietanhdev](https://twitter.com/vietanhdev) for project updates.



  



**Auto Labeling with Segment Anything**



  



- **Youtube Demo:** [https://www.youtube.com/watch?v=5qVJiYNX5Kk](https://www.youtube.com/watch?v=5qVJiYNX5Kk)

- **Documentation:** [https://anylabeling.nrl.ai](https://anylabeling.nrl.ai)

**Features:**

- [x] Image annotation for polygon, rectangle, circle, line and point.

- [x] Auto-labeling with YOLOv5 and Segment Anything.

- [x] Text detection, recognition and KIE (Key Information Extraction) labeling.

- [x] Multiple languages availables: English, Vietnamese, Chinese.

## I. Install and run

### 1. Download and run executable

- Download and run newest version from [Releases](https://github.com/vietanhdev/anylabeling/releases).

- For MacOS:

  - After installing, go to Applications folder

  - Right click on the app and select Open

  - From the second time, you can open the app normally using Launchpad

### 2. Install from Pypi

- Requirements: Python >= 3.8, <= 3.10.

- Recommended: [Miniconda/Anaconda](https://docs.conda.io/en/latest/miniconda.html).

- Create environment:

```bash

conda create -n anylabeling python=3.8

conda activate anylabeling

```

- **(For macOS only)** Install PyQt5 using Conda:

```bash

conda install -c conda-forge pyqt==5.15.7

```

- Install anylabeling:

```bash

pip install anylabeling # or pip install anylabeling-gpu for GPU support

```

- Start labeling:

```bash

anylabeling

```

## II. Development

- Generate resources:

```bash

pyrcc5 -o anylabeling/resources/resources.py anylabeling/resources/resources.qrc

```

- Run app:

```bash

python anylabeling/app.py

```

## III. Build executable

- Install PyInstaller:

```bash

pip install -r requirements-dev.txt

```

- Build:

```bash

bash build_executable.sh

```

- Check the outputs in: `dist/`.

## IV. Contribution

If you want to contribute to **AnyLabeling**, please read [Contribution Guidelines](https://anylabeling.nrl.ai/docs/contribution).

## V. Star history

[![Star History Chart](https://api.star-history.com/svg?repos=vietanhdev/anylabeling&type=Date)](https://star-history.com/#vietanhdev/anylabeling&Date)

## VI. References

- Labeling UI built with ideas and components from [LabelImg](https://github.com/heartexlabs/labelImg), [LabelMe](https://github.com/wkentaro/labelme).

- Auto-labeling with [Segment Anything Models](https://segment-anything.com/), [MobileSAM](https://github.com/ChaoningZhang/MobileSAM).

- Auto-labeling with [YOLOv5](https://github.com/ultralytics/yolov5), [YOLOv8](https://github.com/ultralytics/ultralytics).