Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
/Maybe/Probably/Certainly
Konstfack, Institutionen för design, inredningsarkitektur och visuell kommunikation (DIV), Grafisk design & illustration.
2020 (engelsk)Independent thesis Basic level (degree of Bachelor), 20 poäng / 30 hpOppgave [Kunstnerisk arbeiden]
Abstract [en]

This project is an experimentation and examination of contemporary computer vision and machine learning, with an emphasis on machine generated imagery and text, as well as object identification. In other words, this is a study of how computers and machines are learning to see and recognize the world. Computer vision is a kind of visual communication that we rarely think of as being designed. With an emphasis on written and visual research, this project aims to comprehend what exactly goes into the creation of machine generated imagery and artificial vision systems.

I have spent the last couple of months looking through the lense of cameras, object identification apps and generative neural networks in order to try and understand how AI perceives reality. This resulted in a mixed media story about images and vision, told through the perspective of a fictional AI character.

Visit ​www.maybe-probably.com​ to view the project.

sted, utgiver, år, opplag, sider
2020. , s. 24
Emneord [en]
Computer vision, machine learning, AI
HSV kategori
Identifikatorer
URN: urn:nbn:se:konstfack:diva-7400OAI: oai:DiVA.org:konstfack-7400DiVA, id: diva2:1447581
Utdanningsprogram
Graphic design & Illustration (Bachelor)
Veileder
Examiner
Tilgjengelig fra: 2020-07-01 Laget: 2020-06-25 Sist oppdatert: 2020-07-01bibliografisk kontrollert

Open Access i DiVA

/Maybe/Probably/Certainly(3227 kB)102 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 3227 kBChecksum SHA-512
9cf94fc3694d34dfed48125ca9e3d3084873acf42e3fcdd475d78b42cce92137b9e55b7816a5319364577bafadf61bce217f0ee9db9481c7272d1d9ecb2962b2
Type fulltextMimetype application/pdf

Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 102 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

urn-nbn

Altmetric

urn-nbn
Totalt: 1759 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf