
Data Labeling: From Bottleneck To Competitive Edge
Data labeling is the unsung hero behind the artificial intelligence revolution. It's the meticulous process of adding tags, annotations, and metadata to raw data, transforming it into valuable training material for machine learning models. Without accurate and comprehensive data labeling, even the most sophisticated algorithms would be aimless. In this post, we'll dive deep into the world of data labeling, exploring its importance, techniques, challenges, and best practices.
What is Data Labeling and Why is it Important?
Defining Data Labeling
Data labeling, also known as data annotation, is the process of identifying raw data (images, text, audio, video) and adding one or more meaningful and informative labels to provide context so that a machine learning model can learn from it. These la...