LabelImg is an open-source graphical image annotation tool used for labeling and bounding box annotation tasks. It provides a simple and intuitive interface for annotating images with object labels and bounding boxes, which is very useful for tasks such as object detection and image recognition.

In this tutorial, we will walk you through the process of installing and using LabelImg on Windows.

Step 1: Install Python

LabelImg requires Python to run. If you don’t have Python installed, follow these steps to install it:

1. Go to the official Python website at python.org.
2. Click on the “Downloads” tab and choose the latest Python version compatible with your Windows system.
3. Download the installer and run it.
4. Select the “Add Python to PATH” option during the installation process.
5. Click “Install Now” to complete the installation.

Step 2: Install PyQt5

LabelImg relies on the PyQt5 library for its graphical user interface. To install PyQt5, follow these steps:

1. Open the command prompt by pressing Win + R and typing cmd. Press Enter.
2. Type the following command to install PyQt5:

pip install pyqt5

Step 3: Download and Run LabelImg

1. Open your web browser and visit the LabelImg GitHub repository at github.com/tzutalin/labelImg.
2. Click on the green “Code” button and select “Download ZIP” to download the source code.
3. Extract the downloaded ZIP file to a location of your choice.
4. Open the extracted folder and navigate to the labelImg subfolder.
5. Run the labelImg.py file by double-clicking on it.

Step 4: Annotate Images using LabelImg

Now that you have LabelImg up and running, you can start annotating your images:

1. Click on the “Open Dir” button to select the folder containing the images you want to annotate.
2. Use the arrow buttons or the mouse to navigate through the images in the selected folder.
3. Click on the “Create RectBox” button to create a bounding box around an object in the image.
4. Enter the object label in the “Label” field, or choose from the predefined labels list.
5. Use the mouse to adjust and resize the bounding box as needed.
6. Repeat steps 3-5 for all objects you need to annotate in the image.
7. Click on the “Save” button to save the annotations in an XML file.

That’s it! You have successfully installed and used LabelImg on Windows for image annotation and bounding box labeling tasks.

Conclusion

LabelImg is a powerful and user-friendly tool for annotating images with object labels and bounding boxes. By following the steps in this tutorial, you should now be able to install and use LabelImg on your Windows system. Start annotating your images efficiently and easily with LabelImg for tasks like object detection, image recognition, and more.

#AI #ImageAnnotation