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    Faces extracted from Time Magazine 1923-2014

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    Author
    Jofre, Ana
    Berardi, Vincent
    Bennett, Carl
    Reale, Michael
    Cole, Josh
    Keyword
    Time Magazine archive, 1923 to 2012
    Faces
    Photographs
    Metadata
    Datasets
    Gender labelling
    Gender studies
    Sociology
    Psychology
    Amazon Mechanical Turk (AMT) - crowdsourcing marketplace
    Journal title
    Journal of Cultural Analytics
    Date Published
    2020-03-16
    
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/20.500.12648/7155
    Abstract
    We present metadata of labeled faces extracted from a Time magazine archive that contains 3,389 issues ranging from 1923 to 2012. The data we are publishing consists of three subsets: Dataset 1) the gender labels and image characteristics for each of the 327,322 faces that were automatically-extracted from the entire Time archive, Dataset 2) a subset of 8,789 faces from a sample of 100 issues that were labeled by Amazon Mechanical Turk (AMT) workers according to ten dimensions (including gender) and used as training data to produce Dataset 1, and Dataset 3) the raw data collected from the AMT workers before being processed to produce Dataset 2.
    Citation
    Jofre, Ana, Vincent Berardi, Carl Bennett, Michael Reale, and Josh Cole. 2020. “Faces Extracted from Time Magazine 1923-2014.” Journal of Cultural Analytics 5 (1). https://doi.org/10.22148/001c.12265.
    DOI
    https://doi.org/10.22148/001c.12265
    ae974a485f413a2113503eed53cd6c53
    https://doi.org/10.22148/001c.12265
    Scopus Count
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    SUNY Polytechnic Institute Faculty Publications

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