Data annotation can be defined as the act of collecting and labeling data so that computers can be trained properly to perform automated tasks and give correct output. Whether it involves circling moving cars in the video, changing audio into text, or sorting documents into types, data annotation is indispensable in the training of a computer in artificial or machine learning. In this blog, we will look at what data annotation is, the different types, the uses of data annotation, and the possible problems in data annotation.
You must log in or register a new account in order to contact the publisher