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

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

Introduction

Welcome to the world of AnyLabeling, where data labeling is made easy and efficient! This tool combines the best features of popular labeling tools like LabelImg and Labelme, enriching them with an improved user interface and auto-labeling capabilities. In this guide, we’ll walk you through how to get started with AnyLabeling, so grab your favorite caffeinated beverage and let’s dive in!

Installation and Setup

To kick off your labeling journey, you need to install AnyLabeling.

1. Download and run executable

• Download the latest version from the Releases.
• For MacOS:
  • After installing, go to the 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 3.10+. Recommended: Python 3.12.

• It’s recommended to use Miniconda/Anaconda.
• Create a new environment:

conda create -n anylabeling python=3.12
conda activate anylabeling

• (For macOS only) Install PyQt5 using Conda:

conda install -c conda-forge pyqt==5.15.9

• Install AnyLabeling:

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

• Start labeling:

anylabeling

Features

• Image annotation for polygon, rectangle, circle, line, and point.
• Auto-labeling with YOLOv8, Segment Anything (SAM, SAM2).
• Text detection, recognition, and Key Information Extraction (KIE) labeling.
• Multiple languages available: English, Vietnamese, Chinese.

How to Use AnyLabeling

Once you’ve got AnyLabeling up and running, it’s as smooth as a perfectly brewed cup of coffee! Using AnyLabeling is akin to attending a well-organized event:

• **Preparation:** Just like setting up a venue, you configure your image dataset.
• **Labeling:** Think of this as assigning tasks; select the labeling tool that suits your image.
• **Auto-labeling:** This feature acts like a trusted co-organizer, streamlining your workflow and automatically assigning labels using advanced AI models.
• **Review:** Just as you would check the event plan, reviewing labels ensures accuracy and clarity.

Troubleshooting

If you experience any hiccups along the way, here are some troubleshooting tips:

• If the application doesn’t launch, ensure you have installed Python and all required packages correctly.
• Check the console for any error messages; they often provide clues to what went wrong.
• If you encounter issues with auto-labeling, verify that your image formats are supported.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

Links for Further Exploration

• YouTube Demo: Watch Here
• Documentation: Visit Documentation