What are the common challenges in data annotation?

What are the common challenges in data annotation?

Some common challenges include ensuring data quality, managing large datasets, and dealing with ambiguous labels.

How can we improve the quality of annotated data?

Improving quality can involve using clear guidelines, regular audits, and training annotators effectively.

What tools are available for data annotation?

There are several tools like Labelbox, Amazon SageMaker Ground Truth, and Prodigy that can help with data annotation.

Is there a way to automate data annotation?

Yes, automation can be achieved using machine learning models to pre-annotate data, which humans can then review.

What skills should a data annotator have?

A data annotator should have attention to detail, domain knowledge, and familiarity with annotation tools.