Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
Datacite citation style:
Van Zuijlen, Mitchell; Hubert Lin; Kavita Bala; S.C. (Sylvia) Pont; M.W.A. (Maarten) Wijntjes (2021): Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/13679200.v1Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
time coverage~ roughly 0AD to now
licenceCC BY 4.0
Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision.
Download the README.txt first to help you decide what you want/need to download!
In 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).
Note 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.
- 2021-03-05 first online, published, posted
formatmeta data in csv files, images within zipped files
- Visual communication of material properties (grant code 276-54-001) [more info...] Dutch Research Council
organizationsDelft University of Technology, Faculty of Industrial Engineering, Department of Human-Centered Design
Cornell University, Department of Computer Science
- download all files (zip)
203,548,572,177 bytes unzipped