🎉 labeling_ir - Simplifying Your Labeling Workflows

📥 Download Now

📖 Introduction

Welcome to the labeling_ir project! This software provides shared intermediate representation (IR) structures for the North Shore labeling stack. It includes typed datasets, samples, assignments, labels, artifacts, and evaluation runs. With this tool, you can streamline your labeling workflows efficiently.

🌟 Features

• Typed Datasets: Readily available datasets that are organized and easy to use.
• Data Annotation: Enhance your data with meaningful labels.
• Machine Learning Integration: Leverage your labeled data for AI training.
• Structured Artifacts: Store all your labeling outputs in a clear and organized manner.
• Evaluation Runs: Review and analyze the performance of your labeling tasks.

📋 System Requirements

To ensure the best experience while using labeling_ir, please make sure your computer meets the following requirements:

• Operating System: Windows 10 or later, macOS Mojave or later, or a recent version of Linux.
• RAM: At least 4 GB of RAM.
• Disk Space: A minimum of 500 MB of free space.
• Network: Internet connection for downloading datasets and updates.

🚀 Getting Started

Follow these simple steps to download and run labeling_ir on your computer:

1. Visit the Releases Page

   Go to the Releases page to find the latest version of the application.

2. Download the Application

   Look for the latest release. You will find a list of files available for download. Click on the file that matches your operating system. This may be an .exe file for Windows, a .dmg for macOS, or other formats for Linux.

3. Install the Application

   Once the download is complete, locate the downloaded file on your computer. Double-click the file to begin the installation process. Follow the on-screen instructions to install the application.

4. Run the Application

   After installation, look for the labeling_ir icon on your desktop or in your application folder. Double-click the icon to open the application.

5. Getting Started with Labeling

   • Create or open a dataset to start labeling.
   • Use the provided tools to annotate your data.
   • Save your work regularly to avoid losing progress.

6. Access Help and Documentation

   If you need assistance or additional information, check the Help section within the application or refer to the documentation available on the GitHub repository.

🌐 Download & Install

To get labeling_ir, visit the Releases page again. Click on the relevant file to start your download. Once you have the application installed, follow the steps above to begin your labeling tasks.

💬 Community and Support

Join our community to share your experiences and seek help. You can use issues in the GitHub repository to report bugs or ask questions. We encourage feedback and suggestions to improve the project.

🧩 Conclusion

labeling_ir empowers you to manage your data labeling tasks with ease. Whether you are a beginner or have some experience, you can efficiently handle your projects with this tool. Start collecting data and enhancing your labeling workflows today!