📘 Data-labeling-tools – Legal FAQs

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❓ What is data labeling?

It’s the process of tagging data (text, images, video) with meaningful labels so it can be used to train ML models.

❓ Why is data labeling important?

High-quality labeled data is crucial for accurate and effective machine learning models.

❓ What tools are available?

Tools include Labelbox, Scale AI, Amazon SageMaker Ground Truth, and open-source tools like CVAT and Label Studio.

❓ Can startups outsource data labeling?

Yes, many services offer human-in-the-loop labeling through freelancers or managed teams.

❓ Is automation possible?

Yes, semi-automated labeling and active learning help speed up the labeling process with AI assistance.

❓ What types of data can be labeled?

Text, audio, images, video, sensor data — virtually any type of structured or unstructured data.

❓ How do you ensure label accuracy?

With quality control techniques like consensus labeling, audits, inter-annotator agreement, and validation tools.