From the course: Hands-On Data Annotation: Applied Machine Learning

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Data labeling for object detection using CVAT

Data labeling for object detection using CVAT

From the course: Hands-On Data Annotation: Applied Machine Learning

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Data labeling for object detection using CVAT

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To show how to label data for object detection in CVAT we will use the cars on the street dataset that is available in the exercise files. First, we create a project named data labeling for object detection using CVAT. Then, creates possible labels like car, person, road, roof, and building. Then, we create a new task named data labeling for object detection using CVAT, and select the project associated with it. We then upload our dataset. Submit an open. Now, we assign the job to a user, which is myself. Now, we can go to the jobs window and select the new job. The annotation interface has different kinds of icons on the left panel. Where you can move the image, fit the image, select the region of interest, different types of tools depending on your use case. This is a small data set of 12 images. We are going to be creating bounding boxes around the objects and label them. The first image contains cars, road, and people. Let's create rectangular boxes for as many as possible. To do…

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