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Researchers find that labels in computer vision datasets poorly capture racial diversity

Datasets are a primary driver of progress in computer vision, and many computer vision applications require datasets that include human faces. These datasets often have labels denoting racial identity, expressed as a category assigned to faces. But historically, little attention has been paid to the validity, construction, and stability of …

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