This type of data annotation is created by lines and splines to detect and recognize lanes, which is required to run an autonomous vehicle. The prime purpose of this type of data annotation is to detect the objects and locations. It uses x and y-axis coordinates in both the upper-left and lower-right corners of the rectangle. These are the rectangular boxes used to identify the location of the object. The most common kind of data annotation is bounding boxes. Let’s read them in detail: Bounding boxes The prime aim of all these types of annotations is to help a machine to recognize text, images, and videos (objects) via computer vision.
To create a data set required for machine learning, different types of data annotation methods are available. In short, the process helps the machine to understand and memorize the input patterns. Labeling the data makes objects recognizable to computer vision, which further trains the machine. These data sets are further needed to be created and trained through a process named Data annotation.ĭata annotation is the technique of labeling the data, which is present in different formats such as images, texts, and videos. It is actually the trained data sets that do the magic to create automated machines and applications.
To understand this, you have to dig deeper into the technical things. But, have you ever wondered how AI and ML work or how they make machines act, think, and behave like human beings. Both these technologies have made applications and machines way smarter than our imaginations. It is unarguably true that the advent of machine learning and artificial intelligence has brought a revolutionary change in various industries globally.
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