Must Know Labelme 使い方 Article

LabelMe Annotation Tool Alternatives and Similar Websites and Apps from alternativeto.net

Introduction

Labelme is a powerful open-source tool used for annotating images and videos. With its user-friendly interface, it has become a popular choice among researchers and developers for creating datasets for computer vision applications. In this article, we will provide a detailed guide on how to use Labelme in 2023.

Getting Started with Labelme

To get started with Labelme, you need to download it from the official website. Once downloaded, extract the files and open the application. You will see a simple interface with options to open an existing project, create a new project, or import data.

Creating a New Project

To create a new project, click on the "New" button and give a name to your project. You can also specify the location where you want to save your project. Once done, you will see a blank canvas where you can start annotating your images.

Importing Data

If you want to import data from an existing dataset, click on the "Import" button and select the folder where your data is stored. Labelme supports various file formats, including JPEG, PNG, and BMP.

Annotating Images with Labelme

To annotate an image in Labelme, you need to follow these simple steps: 1. Open the image you want to annotate. 2. Select the object you want to annotate from the object list. 3. Draw a polygon around the object. 4. Add attributes to the object, such as name, color, and shape. 5. Save the annotation.

Advanced Features of Labelme

Apart from the basic annotation features, Labelme also offers some advanced features that make it a powerful tool for creating datasets. Some of these features include: - Multi-class annotation: Labelme allows you to annotate multiple classes in a single image. - Instance segmentation: With instance segmentation, you can annotate each instance of an object separately. - Video annotation: Labelme also supports video annotation, where you can annotate each frame of a video.

Tips for Using Labelme

Here are some tips that can help you use Labelme more effectively: - Use keyboard shortcuts to speed up the annotation process. - Use the zoom feature to annotate small objects more accurately. - Use the undo and redo buttons to correct mistakes. - Use the "show all" button to see all the annotations in an image.

Conclusion

Labelme is a powerful tool for annotating images and videos. With its user-friendly interface and advanced features, it has become a popular choice among researchers and developers. By following the steps mentioned in this article, you can easily get started with Labelme and create high-quality datasets for computer vision applications.