Open source data labeling tools
Practical AI
00:00
Navigating the Challenges of Data Labeling
This chapter addresses the complexities and challenges associated with data labeling, emphasizing accuracy, bias mitigation, and quality control. It explores the pros and cons of outsourcing versus in-house labeling, the implications of privacy, and introduces innovative tools like Label Studio. The discussion highlights strategies for optimizing the labeling process to enhance machine learning model efficiency.
Transcript
Play full episode
