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Ground truth to fake geographies: machine vision and learning in visual practices
- Source :
- AI & SOCIETY. 36:1253-1262
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- This article investigates the concept of the ground truth as both an epistemic and technical figure of knowledge that is central to discussions of machine vision and media techniques of visuality. While ground truth refers to a set of remote sensing practices, it has a longer history in operational photography, such as aerial reconnaissance. Building on a discussion of this history, this article argues that ground truth has shifted from a reference to the physical, geographical ground to the surface of the images echoing earlier points raised by philosopher Jean-Luc Nancy that there is a ground of the image that is central to the task of analysis beyond representational practices. Furthermore, building on the practices of pattern recognition, composite imaging, and different interpretational techniques, we discuss contemporary practices of machine learning that mobilizes geographical earth observation datasets for experimental purposes, including tests such as “fake geography” as well as artistic practices, to show how ground truth is operationalized in such contexts of AI and visual arts.
- Subjects :
- Ground truth
Operationalization
Machine vision
Photography
06 humanities and the arts
02 engineering and technology
0603 philosophy, ethics and religion
Visual arts
Human-Computer Interaction
Philosophy
Artificial Intelligence
Remote sensing (archaeology)
Pattern recognition (psychology)
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
060301 applied ethics
Performing arts
Set (psychology)
Subjects
Details
- ISSN :
- 14355655 and 09515666
- Volume :
- 36
- Database :
- OpenAIRE
- Journal :
- AI & SOCIETY
- Accession number :
- edsair.doi...........672a5c46acfeff0d76ddac98db2575a2