AI Data Annotation

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Around 80% of AI development time goes into AI Data Annotation.

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1. What is AI data annotation?

AI Data Annotation is the process of labeling or tagging raw data, like text, images, audio, or video, so that AI systems can understand and learn from it. It helps train machine learning models to recognize patterns, make predictions, and perform tasks accurately.

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2. Who does AI Data Annotation?

AI Data Annotation is done by skilled data annotators or annotation teams, often supported by AI-assisted tools. These professionals label data accurately so machine learning models can learn effectively. Many businesses also partner with specialized platforms like Convin to streamline and scale their data annotation process.

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There you go! Let’s meet again soon.

Accelerate AI growth through Convin’s automated annotation

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