SemArt
Introduced by Garcia et al. in How to Read Paintings: Semantic Art Understanding with Multi-Modal Retrieval
SemArt is a multi-modal dataset for semantic art understanding. SemArt is a collection of fine-art painting images in which each image is associated to a number of attributes and a textual artistic comment, such as those that appear in art catalogues or museum collections. It contains 21,384 samples that provides artistic comments along with fine-art paintings and their attributes for studying semantic art understanding.
Source: How to Read Paintings: Semantic Art Understanding with Multi-Modal RetrievalPapers
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