Image Databases for Facial Analysis Coded for Race and Gender Features
收藏NIAID Data Ecosystem2026-03-11 收录
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https://zenodo.org/record/3735399
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资源简介：
This document consists of the corpus of image databases examined for race and gender information as published in:
Morgan Klaus Scheuerman, Kandrea Wade, Caitlin Lustig, and Jed R. Brubaker. 2020. How We’ve Taught Algorithms to See Identity: Constructing Race and Gender in Image Databases for Facial Analysis. Proc. ACM Hum.-Comput. CSCW.
This code book includes:
1. Whether race/gender is present implicitly (as descriptive, but not annotated) or explicitly (annotated/labeled).
2. What categories or descriptions of race/gender are used.
3. Whether those categories/descriptions use underlying source material to justify or motivate their descriptions of race/gender.
4. Whether explicitly annotated databases describe the process of annotating race/gender.
创建时间：
2020-04-01
