Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

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Data annotation, or the process of adding labels to images, text, audio and other forms of sample data, is typically a key step in developing AI systems. The vast majority of systems learn to make ...

As companies have rushed to build AI models, the demand for “data annotation” and “data labeling” work has increased. Workers complete tasks such as writing and coding, which tech ...

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