Categorization of artwork images based on painters using CNN

Title

Categorization of artwork images based on painters using CNN

Creator

Mondal K.

Description

Artworks and paintings has been an integral part of human civilization since the dawn of the Stone Age. Paintings gives more insight about any subject compared to the scriptures and documents. Archiving of digital form of paintings helps to preserve the artworks of different painters. The anticipated work is aimed for the classification of painters' artworks. The artworks of Foreign & Indian painters are considered for the proposed work. The foreign painters' artworks are obtained from [14]. At present, the Indian painters' artwork dataset is not readily available. The images were downloaded from the specific genuine website [13]. Conventional Neural Network is used for Feature learning and classification. Around 20k images of artworks is used for the experiment and got an average accuracy of 85.05%. Published under licence by IOP Publishing Ltd.

Source

Journal of Physics: Conference Series, Vol-1818, No. 1

Date

2021-01-01

Publisher

IOP Publishing Ltd

Subject

Convolutional Neural Network; Deep Learning; Neural Network; Painter Identification; Painting Classification

Coverage

Mondal K., Department of Computer Science, Christ (Deemed to Be University), Bengaluru, Karnataka, India

Rights

All Open Access; Gold Open Access

Relation

ISSN: 17426588

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1088/1742-6596/1818/1/012223

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102781880&doi=10.1088%2f1742-6596%2f1818%2f1%2f012223&partnerID=40&md5=f1e4c81db30b688ef821e7df3e808e28