Artistify – Artist Identification of an Artwork using CNN
| dc.contributor.author | Usama Anwar Butt | |
| dc.contributor.author | SP17-BCS-128 | |
| dc.contributor.author | Dr. Zeeshan Gillani | |
| dc.contributor.author | LHR TP 7169 | |
| dc.date.accessioned | 2026-02-24T06:23:15Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Identifying 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.uri | https://repository.cuilahore.edu.pk/handle/123456789/2123 | |
| dc.language.iso | en | |
| dc.publisher | Library Information Services, COMSATS University Islamabad, Lahore Campus | |
| dc.relation.ispartofseries | LHR TP 7169 | |
| dc.subject | TECHNOLOGY::Information technology::Computer science | |
| dc.subject | Dr. Zeeshan Gillani | |
| dc.title | Artistify – Artist Identification of an Artwork using CNN | |
| dc.type | Thesis |
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