RichArt RichArt is a benchmark dataset of 7,087 paintings with 20,882 region level annotations pairing bounding boxes with rich symbolic narratives extracted from museum catalogs. It is introduced in "Fine Grained Cross Modal Retrieval in Art via Region Level Grounding of Symbolic Narratives" (ICMR 2026). Dataset Structure Statistics General Aspects Metric Value Paintings 7,087 Artists 2,288 Annotated objects 20,882 Unique object labels 6,233 Century range 14th – 21st Source Distribution: 76.5% Web Gallery of Art 12.9% Metropolitan Museum of Art 10.6% WikiArt Annotation Granularity Object Density: Median of 2 objects per painting (max 8). Narrative Depth: Region descriptions average 35 words, while painting level descriptions range from 26 to 8,573 words (Mean: 212, Median: 123). Taxonomy & Style Categorization: 81.89% of paintings are classified into 7 coarse types (e.g., religious, portrait, landscape) and 25 fine grained subcategories. Artistic Style: 40.77% of the corpus is tagged with one of 33 styles (e.g., Baroque, Realism, Tenebrism). Visual Examples Structured Painting Metadata Example of a painting and its metadata (including text highlights of a referring expression and…
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