What are the best labeling techniques for data annotation?
The best labeling techniques depend on your data type and project goals. Common techniques include manual labeling, semi-automated labeling, and crowdsourcing.
Can you explain manual labeling and its advantages?
Manual labeling involves human annotators tagging data. It's accurate and allows for nuanced understanding, but can be time-consuming.
What about semi-automated labeling?
Semi-automated labeling uses algorithms to assist human annotators, speeding up the process while maintaining quality.
Are there any tools you recommend for these techniques?
Yes, tools like Labelbox, Amazon SageMaker Ground Truth, and Snorkel are popular for data annotation.
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