Published: 6 June 2022| Version 1 | DOI: 10.17632/2nfvz8g27c.1
Thomas Serban von Davier,
This page introduces a new art dataset focused on the financial valuation of individual artworks. The dataset's creation was motivated by the continuous interest in art datasets and the current challenge of accessing open financial art datasets. There are two apparent gaps the dataset aims to fill. The first is that most art datasets primarily explore the problem space of classifying artworks and their visual appearance. The second is that while financial art datasets exist, they are heavily gated behind paywalls and limited data access permissions. Our dataset classifies 10k artworks on up to 22 individual variables.
University of Oxford
Art, Finance, Auction