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Comprehensive Guide to Data Annotation for AI Applications

Data annotation is a critical process in the development of artificial intelligence applications, where data is labeled and categorized for training machine learning models. This process ensures that AI systems can learn from high-quality, relevant data, which is essential for their performance and accuracy. Various techniques, including human expertise and AI-assisted tools, are utilized in data annotation to enhance efficiency and quality in data curation.

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Q: How often does Data Annotation experience outages?

A: Major outages are rare, occurring only a few times a year. Minor issues can happen more frequently.

Q: How long do Data Annotation outages typically last?

A: Most outages are resolved within a few hours. Extended outages lasting more than a day are extremely rare.

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