Difference between revisions of "How Computers See Gender: An Evaluation of Gender Classification in Commercial Facial Analysis Services (Q3828)"
Jump to navigation
Jump to search
(Created a new Item: How Computers See Gender: An Evaluation of Gender Classification in Commercial Facial Analysis Services, scholarly article published in 11/2019) |
(Created claim: concerns (P110): gender (Q540)) |
||
(6 intermediate revisions by the same user not shown) | |||
Property / instance of | |||
+ | |||
Property / instance of: scholarly article / rank | |||
+ | Normal rank | ||
Property / DOI | |||
+ | |||
Property / DOI: 10.1145/3359246 / rank | |||
+ | Normal rank | ||
Property / concerns | |||
+ | |||
Property / concerns: explainable AI / rank | |||
+ | Normal rank | ||
Property / concerns | |||
+ | |||
Property / concerns: facial recognition data / rank | |||
+ | Normal rank | ||
Property / concerns | |||
+ | |||
Property / concerns: gender / rank | |||
+ | Normal rank | ||
Property / official website | |||
+ | |||
Property / official website: https://docs.wixstatic.com/ugd/eb2cd9_963fbde2284f4a72b33ea2ad295fa6d3.pdf / rank | |||
+ | Normal rank | ||
Property / comment | |||
+ | Authors examined how commercial computer vision services classify and label images of different genders, including non-binary genders, as well as how labelling constructs a cultural reality of gender within computer vision infrastructure. | ||
Property / comment: Authors examined how commercial computer vision services classify and label images of different genders, including non-binary genders, as well as how labelling constructs a cultural reality of gender within computer vision infrastructure. / rank | |||
+ | Normal rank |
Latest revision as of 09:22, 12 February 2020
scholarly article published in 11/2019
Language | Label | Description | Also known as |
---|---|---|---|
English |
How Computers See Gender: An Evaluation of Gender Classification in Commercial Facial Analysis Services
|
scholarly article published in 11/2019
|
Statements
Authors examined how commercial computer vision services classify and label images of different genders, including non-binary genders, as well as how labelling constructs a cultural reality of gender within computer vision infrastructure.
0 references