What are the best practices for data annotation?
An example of an AI chatbot conversation about data annotation best practices.
What are the best practices for data annotation?
Best practices for data annotation include ensuring clear guidelines, using diverse datasets, and regular quality checks.
How can I ensure the quality of annotated data?
You can ensure quality by implementing a review process, using multiple annotators, and providing feedback.
What tools are recommended for data annotation?
Popular tools include Labelbox, Amazon SageMaker Ground Truth, and Prodigy, each with unique features.
How do I handle ambiguous data during annotation?
For ambiguous data, provide clear examples in your guidelines and consider using consensus among annotators.
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