This article discusses the six use cases of image annotation for self-driving cars. Read on to find out more about this latest news in AI.
Join the DZone community and get the full member experience. In autonomous driving, computer vision is an important role in making the varied objects recognizable. And there are different types of image annotation techniques used to annotate and make the objects recognizable to machine learning and deep learning. And not only objects but making the whole scenario including road lanes, street lights, other vehicles, and other objects visible in their natural environment. And for each type of object, there are different types of image annotation techniques are used. So, here today we will discuss the six use cases of image annotation for self-driving car or autonomous vehicle driving. 2D image annotation or bounding box annotation is used to make the objects like other vehicles recognizable with a second dimension. It is one of a simple but most popular image annotation technique helps to detect and recognize the objects for an autonomous vehicle.
