From the course: Hands-On AI: Computer Vision Projects with Ultralytics and OpenCV
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How to annotate the data using Label Studio - OpenCV Tutorial
From the course: Hands-On AI: Computer Vision Projects with Ultralytics and OpenCV
How to annotate the data using Label Studio
- [Instructor] In this video, we will cover how to annotate the object-detection and image-segmentation data. For data annotation, we will use Label Studio, a powerful data annotation tool. The resources used in this video can be found in the Course code sub-directory 02-01. Before moving forward, let's review the images we will be annotating. We have the images for object-detection. Here we will use the apple moving on conveyor belt images for annotation and image segmentation. Here, we will use the bottle moving on conveyor belt images for annotation. Now, let's install the Label Studio package using the pip command, pip install label-studio. The installation time may vary, depending on your internet speed. Now installation is complete. Let's launch the Label Studio application using the label-studio start command. This will open the application in the default web browser at a local host URL. Let's delete these projects, as I had created these for testing previously. If you are…
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