Big IR dataset compiled for training face biometric systems
The U.S. Army has created a public, 500,000-image dataset that officers hope will lead to better low-light facial recognition systems….
dataset
Idiap researchers propose metric for measuring biometrics fairness
A pair of researchers from the Idiap Research Institute have developed a metric to use in assessing the fairness of biometric…
Report says lack of diversity in face biometrics datasets extends to expression, emotion
A pair of new studies on algorithmic bias in face biometrics both suggest that the lack of diversity in datasets…
For image recognition systems the world still looks like ‘Daddy Knows Best’ — research
A U.S.-European team of researchers say image recognition systems “mimic and even amplify real-world bias” involving men and women. The…
Vokenizing: A new way to give AI language models much-needed common sense
A pair of U.S. researchers say they have improved language understanding in AI using a more-efficient and scalable new technique…
Google Photos uses clientele to train its image recognition capabilities
Google Photos has rolled out a new survey feature in which it asks users to evaluate and describe the contents…
Computer vision modelers take too much for granted. Data sets hold bias surprises
A pair of U.S. researchers say unsupervised computer vision models used in biometrics and other applications can learn nasty social…
Method for facial recognition bias reduction with adversarial network shows promise
A prominent trio of biometrics researchers have proposed a way to remove the difference, or bias, from facial recognition performance…
Research ethics in machine vision need some attention
The AI community talks big about ethics, but skeptics are interested in its walk. For machine vision researchers, at least,…
Face biometrics researchers find possible route to better accuracy across races, genders
A sampling of commercial facial recognition algorithms seems to suggest that face biometrics systems are currently too dependent on certain…
