What is data annotation in machine learning?

What is data annotation in machine learning?

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

Why is data annotation important?

It's crucial because annotated data improves the accuracy of machine learning models, enabling them to make better predictions.

What types of data can be annotated?

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

How is data annotation done?

Data annotation can be done manually by humans or automatically using algorithms, depending on the complexity and volume of data.

What tools are available for data annotation?

There are many tools like Labelbox, Amazon SageMaker Ground Truth, and VGG Image Annotator that facilitate data annotation.