By default, in the same folder as the image, with a .json extension. You can change the output folder using --output flag.
In the rapidly evolving fields of computer vision and machine learning, data annotation is the backbone of any successful model. Whether you are training an object detection algorithm, a semantic segmentation network, or an instance segmentation model, you need high-quality labeled data. is one of the most popular open-source graphical image annotation tools written in Python (using Qt). Its executable file, Labelme.exe , allows Windows users to run the tool without needing to install Python or manage complex dependencies. Labelme.exe Download
The executable is not code-signed. A signature costs money, and open-source developers often skip it. Add an exclusion rule in Windows Security or Defender. By default, in the same folder as the image, with a
. It will generate a JSON file with the same name as your image [8, 17]. "Next Image" button (or on your keyboard) to keep going [9]. Pro-Tip: The Python Alternative Whether you are training an object detection algorithm,
Here is everything you need to know to download, install, and start using it. Quick Download Options
Labelme.exe is a software tool used for annotating images with labels, commonly utilized in machine learning and computer vision tasks. This report provides an overview of Labelme.exe, its functionality, and information on downloading the software.