In the context of AI-driven generative art, the increasing ability to process vast amounts of data, together with the aim of developing human-centric artificial intelligence agents, has made access to high-quality and informative artistic data a crucial factor. For this reason, we proposes Museart-Large, a music-image dataset comprising 26394 selected artistic images and 1579,65 hours of music data, categorized according to historical, cultural, and stylistic criteria.

Museart_large: a refined music-image dataset extending Museart

Alfredo Baione
2026

Abstract

In the context of AI-driven generative art, the increasing ability to process vast amounts of data, together with the aim of developing human-centric artificial intelligence agents, has made access to high-quality and informative artistic data a crucial factor. For this reason, we proposes Museart-Large, a music-image dataset comprising 26394 selected artistic images and 1579,65 hours of music data, categorized according to historical, cultural, and stylistic criteria.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4963436
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