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Open source data labeling tools

Practical AI

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The Complexities of Data Labeling in AI Workflows

This chapter discusses the critical role of data labeling in AI workflows and the potential difficulties encountered during the process. Key issues such as time consumption, data quality, bias, and the use of crowdsourcing are explored in depth.

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