Artistify – Artist Identification of an Artwork using CNN

dc.contributor.authorUsama Anwar Butt
dc.contributor.authorSP17-BCS-128
dc.contributor.authorDr. Zeeshan Gillani
dc.contributor.authorLHR TP 7169
dc.date.accessioned2026-02-24T06:23:15Z
dc.date.issued2021
dc.description.abstractIdentifying the artist of the painting is a particularly difficult problem if there are no other metadata concerning the accessible image. Historians and Librarians in the past used to catalogue of notable artworks and used to debate over possible painters that might have originally painted the piece. This is a topic of active research in the computer vision field because of the challenging nature of the problem. We will apply a class of deep neural networks which is a Convolution Neural Network to analysing visual imagery. Using a dataset that contains artwork from the most creative artists of all time like Andy Warhol and Vincent Van Gogh, my network will learn the pattern and characteristics of the art and classify the given artwork to best predict the likely artist. Our goal is to create a model that learns to identify the artist analyzing new pictures.
dc.identifier.urihttps://repository.cuilahore.edu.pk/handle/123456789/2123
dc.language.isoen
dc.publisherLibrary Information Services, COMSATS University Islamabad, Lahore Campus
dc.relation.ispartofseriesLHR TP 7169
dc.subjectTECHNOLOGY::Information technology::Computer science
dc.subjectDr. Zeeshan Gillani
dc.titleArtistify – Artist Identification of an Artwork using CNN
dc.typeThesis

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