{"data":{"id":"10.4121/13679200","type":"dois","attributes":{"doi":"10.4121/13679200","prefix":"10.4121","suffix":"13679200","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"van Zuijlen, Mitchell","nameType":"Personal","givenName":"Mitchell","familyName":"van Zuijlen","nameIdentifiers":[{"nameIdentifier":"0000-0002-5739-6507","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Lin, Hubert","givenName":"Hubert","familyName":"Lin","affiliation":[],"nameIdentifiers":[]},{"name":"Bala, Kavita","nameType":"Personal","givenName":"Kavita","familyName":"Bala","nameIdentifiers":[{"nameIdentifier":"0000-0001-9761-6503","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Pont, S.C. (Sylvia)","nameType":"Personal","givenName":"S.C. (Sylvia)","familyName":"Pont","nameIdentifiers":[{"nameIdentifier":"0000-0002-9834-9600","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Wijntjes, M.W.A. (Maarten)","nameType":"Personal","givenName":"M.W.A. (Maarten)","familyName":"Wijntjes","nameIdentifiers":[{"nameIdentifier":"0000-0002-3657-735X","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]}],"titles":[{"title":"Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision"}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2021,"subjects":[{"subject":"Visual Arts and Crafts","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"1905"},{"subject":"FOS: Arts (arts, history of arts, performing arts, music)","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Psychology","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"1701"},{"subject":"FOS: Psychology","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"materials"},{"subject":"paintings"},{"subject":"artistic depiction of materials"},{"subject":"bounding boxes"},{"subject":"extreme clicks"},{"subject":"human annotation"},{"subject":"deep learning data"},{"subject":"art history"},{"subject":"perception"},{"subject":"Time: ~ roughly 0AD to now"}],"contributors":[{"name":"Delft University Of Technology, Faculty Of Industrial Engineering, Department Of Human-Centered Design","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]},{"name":"Cornell University, Department Of Computer Science","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2021-03-05","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["meta data in csv files, images within zipped files"],"version":"1","rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision.\u003cbr\u003e\u003cbr\u003eDownload the README.txt first to help you decide what you want/need to download!\u003cbr\u003eIn this dataset, we capture the painterly depictions of materials to enable the study of depiction and perception of materials through the artists' eye. We annotated a dataset of 19k paintings with 200k+ bounding boxes from which polygon segments were automatically extracted. Each bounding box was assigned a coarse label (e.g., fabric) and a fine-grained label (e.g., velvety, silky).\u003cbr\u003eNote that the data can be browed and explored on https://materialsinpaintings.tudelft.nl. If you only want to download a few paintings, using that website might be faster. \u003cbr\u003e\u003cbr\u003e\u003cbr\u003e","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[{"awardTitle":"Visual communication of material properties","funderName":"Netherlands Organisation for Scientific Research","awardNumber":"276-54-001"}],"xml":"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