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#269 Computer Vision Diagnosing Genetic Disorders with Robert Boscacci

DNA Today: A Genetics Podcast

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Importance of Representation and Bias in Computer Vision

This chapter explores the significance of finding good representations for edge cases in computer vision, highlighting how underrepresentation of certain minorities in an image data set can lead to biased and inaccurate diagnoses based on cultural stereotypes or population differences. It also discusses a case where inadequate training data resulted in poor performance of a computer vision model on individuals with dark skin.

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