June 5, 2024, 4:49 a.m. | Francesc Net, Marc Folia, Pep Casals, Andrew D. Bagdanov, Lluis Gomez

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.02380v1 Announce Type: new
Abstract: In this paper, we address the challenges of automatic metadata annotation in the domain of Galleries, Libraries, Archives, and Museums (GLAMs) by introducing a novel dataset, EUFCC340K, collected from the Europeana portal. Comprising over 340,000 images, the EUFCC340K dataset is organized across multiple facets: Materials, Object Types, Disciplines, and Subjects, following a hierarchical structure based on the Art & Architecture Thesaurus (AAT). We developed several baseline models, incorporating multiple heads on a ConvNeXT backbone for …

abstract annotation archives arxiv challenges cs.cv dataset domain glam hierarchical images libraries metadata multiple museums novel paper type

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