What are the best practices for data labeling?

What are the best practices for data labeling?

Best practices for data labeling include ensuring consistency, using clear guidelines, and involving domain experts.

How can I ensure consistency in labeling?

You can ensure consistency by creating a detailed labeling guide and conducting regular training sessions for labelers.

What tools can help with data labeling?

There are several tools like Labelbox, Amazon SageMaker Ground Truth, and Snorkel that can assist with data labeling.

Is it important to involve domain experts?

Yes, involving domain experts helps improve the accuracy and relevance of the labels, especially for specialized data.