Automated Classification of Demographics from Face Images: A Tutorial and Validation

DOI

This data package includes the data, analysis scripts, and relevant documents for the project: Automated Classification of Demographics from Face Images: A Tutorial and Validation.

Method: Study 1: Face++ API, Kairos API; Study 2: Amazon MTurk, Face++ API, Kairos API. Universe: All human subject data was collected from Amazon Mechanical Turk workers who were U.S. citizens.

(DSA proof)

Identifier
DOI https://doi.org/10.34894/NAG3AV
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/NAG3AV
Provenance
Creator Jaeger, Bastian; Sleeger, Willem W. A.; Evans, Anthony M.
Publisher DataverseNL
Contributor Jaeger, Bastian; DataverseNL
Publication Year 2018
Rights CC0 Waiver; info:eu-repo/semantics/openAccess; https://creativecommons.org/publicdomain/zero/1.0/
OpenAccess true
Contact Jaeger, Bastian (Tilburg University)
Representation
Resource Type Experimental survey data; Dataset
Format application/zip
Size 361591
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences