SemArt

홈페이지 · 논문 16편

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 Retrieval](/paper/how-to-read-paintings-semantic-art)