What is data annotation in AI training?

What is data annotation in AI training?

Data annotation is the process of labeling data to train AI models, helping them understand and learn from the data.

Why is data annotation important for machine learning?

It's crucial because labeled data helps machine learning algorithms learn patterns and make accurate predictions.

What types of data can be annotated?

Various types, including images, text, audio, and video, can be annotated for different AI applications.

How is data annotation typically done?

It can be done manually by humans or automatically using AI tools, depending on the complexity and volume of data.

What are some common challenges in data annotation?

Challenges include ensuring accuracy, managing large datasets, and dealing with ambiguous or subjective data.