Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision

doi: 10.4121/13679200.v1
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
doi: 10.4121/13679200
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.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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.


history
  • 2021-03-05 first online, published, posted
publisher
4TU.ResearchData
format
meta data in csv files, images within zipped files
funding
  • Visual communication of material properties (grant code 276-54-001) [more info...] Dutch Research Council
organizations
Delft University of Technology, Faculty of Industrial Engineering, Department of Human-Centered Design

Cornell University, Department of Computer Science

DATA

files (9)