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Face recognition technology is proving to be fairly (if not wildly) inaccurate when in the field: https://pureai.com/articles/2018/05/15/facial-recognition-stru
by heyyyouu 8y ago
Face recognition technology is proving to be fairly (if not wildly) inaccurate when in the field: https://pureai.com/articles/2018/05/15/facial-recognition-struggles-false-positives.aspx https://pureai.com/articles/2018/05/15/facial-recognition-st... It looks like the base photos are big issue, but of course there are other factors.
- tsumnia 8y agoThis is why a lot of research focuses on the Faces in the Wild dataset [1] [1] http://vis-www.cs.umass.edu/lfw/ http://vis-www.cs.umass.edu/lfw/
- jdietrich 8y ago"Accurate" isn't a terribly meaningful description. We really need to talk about sensitivity and specificity. If you're looking for a very low-probability event (a terror suspect in a random crowd) then your facial recognition algorithm needs to have phenomenally high specificity to be useful, otherwise you'll be glutted with false positives. This isn't a problem isolated to facial recognition - many cancer screening tests are worse than useless, because the harm of unnecessary treatment due to false positives outweighs the benefits of early detection. https://en.wikipedia.org/wiki/Base_rate_fallacy https://en.wikipedia.org/wiki/Base_rate_fallacy