Evolving Data Annotation
The conversation highlights the evolution of data annotation, revealing how the demand for high-quality textual data has surged again, even as image labeling initially dominated. Crowdsourcing has transformed from relying on platforms like Mechanical Turk to more specialized industrial applications. Despite the rise of self-supervised learning, the need for precise annotation remains critical, with the complexity of tasks increasing significantly.In this clip
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