
Data Labeling: The Hidden Backbone of Artificial Intelligence
Data is the lifeblood of modern artificial intelligence and machine learning. But raw data, in its unorganized form, is virtually useless. That's where data labeling comes in – the unsung hero behind every successful AI model. This process of annotating data with specific tags, categories, and information transforms it into a valuable asset that machines can learn from. In this comprehensive guide, we'll delve into the world of data labeling, exploring its importance, techniques, challenges, and best practices.
What is Data Labeling?
Defining Data Labeling
Data labeling, also known as data annotation, is the process of adding tags, labels, or annotations to raw data (images, text, audio, video) to provide context and meaning. This annotated data serves as the training dataset for machin...