Study of Various Types of Data Annotation

Abstract

Labeling of digital data has made it easier for an algorithm to understand and process the dataset using machine learning techniques. There are various methods that are used to add the necessary information to gather data and achieve a perfect ground truth. The objective of this paper is to discuss the types of digital data annotation viz image, audio, and video. After discussing the various types, the paper focuses on different models used for annotating and how it has been evaluated on various dataset.