What are the best practices in data labeling?
Best practices in data labeling include ensuring data quality, consistency, and using clear guidelines for annotators.
How can I ensure the quality of labeled data?
You can ensure quality by implementing regular audits, using multiple annotators, and providing detailed instructions.
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 there a standard format for labeled data?
Yes, common formats include JSON, CSV, and XML, depending on the type of data and the requirements of your project.
How do I handle ambiguous data during labeling?
For ambiguous data, it's best to create a clear set of guidelines and possibly consult with domain experts to reach a consensus.
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