Masked Contexts
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Object Title

Masked Contexts

Part of

Collection: Parsons School of Design MFA Design and Technology program theses ➔ Series: 2020 (PC020402.16)


Material Category
Thesis
Description
Masked Contexts is an exploration into the COCO dataset and a dialogue with the photographers whose images were scraped by the dataset’s authors without their knowledge or consent. Email correspondence paired with the photographers' original images, the segmented masks and captions that they have been transformed into, and the photographers' possible reappropriations of their photos, all come together to present a multi-layered glimpse into the process of converting personal images into universal pieces of big data.

Creator Keywords:
datasets; big data; coco; artificial intelligence; machine learning; privacy; surveillance; personal data; microsoft; flickr; critical web; scraping; computer vision
Date
April 30 2020
Related people
Noah Edelstein (designer)
Richard The (thesis advisor)
Anna Harsanyi (thesis advisor)
Design
Use Restrictions
In accordance with The New School's Intellectual Property Rights Policy, copyright is held by each thesis' respective author. The responsibility to secure copyright permission rests with the user.; http://rightsstatements.org/vocab/InC/1.0/
Identifier
PC020402_2020_edeln591

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