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• W2805754451 abstract "Significance This study measures face identification accuracy for an international group of professional forensic facial examiners working under circumstances that apply in real world casework. Examiners and other human face “specialists,” including forensically trained facial reviewers and untrained superrecognizers, were more accurate than the control groups on a challenging test of face identification. Therefore, specialists are the best available human solution to the problem of face identification. We present data comparing state-of-the-art face recognition technology with the best human face identifiers. The best machine performed in the range of the best humans: professional facial examiners. However, optimal face identification was achieved only when humans and machines worked in collaboration." @default.
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• W2805754451 date "2018-05-29" @default.
• W2805754451 modified "2023-10-16" @default.
• W2805754451 title "Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms" @default.
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• W2805754451 doi "https://doi.org/10.1073/pnas.1721355115" @default.
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