
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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