Researchers devise approach to reduce biases in computer vision data sets

Addressing problems of bias in artificial intelligence, computer scientists from Princeton and Stanford University have developed methods to obtain fairer data sets containing images of people. The researchers propose improvements to ImageNet, a database of more than 14 million images that has played a key role in advancing computer vision over the past decade.

from News on Artificial Intelligence and Machine Learning https://ift.tt/2SoYHNr

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