🌟 AnyLabeling 🌟
Effortless data labeling with AI support from YOLO and Segment Anything!
AnyLabeling = LabelImg + Labelme + Improved UI + Auto-labeling
Auto Labeling with Segment Anything
- Youtube Demo: https://www.youtube.com/watch?v=5qVJiYNX5Kk
- Documentation: https://anylabeling.nrl.ai
Features:
- Image annotation for polygon, rectangle, circle, line and point.
- Auto-labeling with YOLOv8 (object detection).
- Auto-labeling with Segment Anything family:
- SAM (ViT-B / ViT-L / ViT-H) and MobileSAM
- SAM 2 and SAM 2.1 (Hiera-Tiny / Small / Base+ / Large)
- SAM 3 (ViT-H) — open-vocabulary segmentation with text prompts
- Text detection, recognition and KIE (Key Information Extraction) labeling.
- Multiple languages availables: English, Vietnamese, Chinese.
Supported Models
| Model | Prompt Types | Notes |
|---|---|---|
| SAM ViT-B / ViT-L / ViT-H | Point, Rectangle | Original Segment Anything |
| MobileSAM | Point, Rectangle | Lightweight SAM |
| SAM 2 Hiera-Tiny / Small / Base+ / Large | Point, Rectangle | Meta SAM 2 |
| SAM 2.1 Hiera-Tiny / Small / Base+ / Large | Point, Rectangle | Improved SAM 2 |
| SAM 3 ViT-H | Text, Point, Rectangle | Open-vocabulary; text drives detection |
| YOLOv8n / s / m / l / x | — | Object detection & auto-labeling |
All models are downloaded automatically on first use from Hugging Face.
Install and Run
1. Download and run executable
- Download and run newest version from Releases.
- For MacOS:
- Download the folder mode build (
AnyLabeling-Folder.zip) from Releases - See macOS folder mode instructions for details
- Download the folder mode build (
Install from Pypi
-
Requirements: Python 3.11+. Recommended: Python 3.12.
-
Recommended: Miniconda/Anaconda.
-
Create environment:
conda create -n anylabeling python=3.12
conda activate anylabeling
- (For macOS only) Install PyQt6 using Conda:
conda install -c conda-forge pyqt=6
- Install anylabeling:
pip install anylabeling # or pip install anylabeling-gpu for GPU support
- Start labeling:
anylabeling
Documentation
Website: https://anylabeling.nrl.ai/
Applications
| Object Detection | Recognition | Facial Landmark Detection | 2D Pose Estimation |
|---|---|---|---|
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| 2D Lane Detection | OCR | Medical Imaging | Instance Segmentation |
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| Image Tagging | Rotation | And more! | |
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Your applications here! |
Development
- Install packages:
pip install -r requirements-dev.txt
# or pip install -r requirements-macos-dev.txt for MacOS
- Generate resources:
pyrcc5 -o anylabeling/resources/resources.py anylabeling/resources/resources.qrc
- Run app:
python anylabeling/app.py
Build executable
- Install PyInstaller:
pip install -r requirements-dev.txt
- Build:
bash build_executable.sh
- Check the outputs in:
dist/.
Contribution
If you want to contribute to AnyLabeling, please read Contribution Guidelines.
Star history
References
- Labeling UI built with ideas and components from LabelImg, LabelMe.
- Auto-labeling with Segment Anything (SAM, SAM 2, SAM 2.1, SAM 3), MobileSAM.
- Auto-labeling with YOLOv8.
- Icons from FlatIcon: DinosoftLabs, Freepik, Vectoricons, HideMaru.
1 maintainer
Release files for anylabeling 0.4.38
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| anylabeling-0.4.38.tar.gz | 638.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| anylabeling-0.4.38-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.3 MB
Release files / anylabeling-0.4.38.tar.gz
| Download URL | anylabeling-0.4.38.tar.gz |
|---|---|
| Size | 638.2 kB |
| Tags | Source |
|
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| Size | 694.5 kB |
| Tags | Python 3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 29, 2026.
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