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Trends in data labeling

Practical AI

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Future Trends in Data Labeling

This chapter delves into the future of data labeling amidst the rise of machine learning, focusing on the importance of diverse labeling techniques and human oversight. It highlights the evolution of open-source tools and their role in enhancing labeling processes across multiple data types while addressing the balance between community engagement and monetization. The discussion also anticipates upcoming features in labeling tools, such as video capabilities, and explores the impact of these advancements on the industry.

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