{"url":"/dataset/dram-dataset","name":"DRAM Dataset","full_name":"Diverse Realism in Art Movements","description_markdown":"DRAM dataset is the first dataset to introduce a fully labeled test set for the task of semantic segmentation of art paintings. The dataset uses a subset of 12 classes used in the PascalVoc12 dataset:  Bird, Boat, Bottle, Cat, Chair, Cow, Dog,Horse, Sheep, Person, Potted-Plant, and Background.\r\n\r\nThe dataset consists of 5677 unlabeled and 718 labeled paintings from 152 painters. The dataset is divided into 5 categories: Realism, Impressionism, Post-Impressionism, Expressionism and 'Unseen', each holding paintings from a specific art movement. the Unseen category appears only in the test set and it consists from 135 image of the following art movements: Art-Nouveau, Baroque, Cubism, Divisionism, Fauvism, Chinese Ink and Wash, Japonism and Rococo.\r\n\r\nThe dataset was constructed for the perceptual task of understanding how computers see images from various styles.\r\n\r\nPotential use cases:\r\n1) Evaluating semantic segmentation models on a diverse and complex domain.\r\n2) Investigation on latent representations of abstraction-varying art styles\r\n3) Domain adaptation solutions for semantic segmentation of art paintings.","description_withheld":null,"homepage":"https://nadavc220.github.io/ssiap/","introduced_date":"2022-03-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/semantic-segmentation-in-art-paintings","title":"Semantic Segmentation in Art Paintings","first_author":"Nadav Cohen","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["DRAM Dataset"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}