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

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

Dataset

• Visual Arts and Crafts
• Psychology

art history, artistic depiction of materials, bounding boxes, deep learning data, extreme clicks, human annotation, materials, paintings, perception

~ roughly 0AD to now

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Mitchell Van Zuijlen , Hubert Lin , Kavita Bala , S.C. (Sylvia) Pont , M.W.A. (Maarten) Wijntjes

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

4TU.ResearchData

meta data in csv files, images within zipped files

• Visual communication of material properties (grant code 276-54-001) [more info...] Dutch Research Council

Delft University of Technology, Faculty of Industrial Engineering, Department of Human-Centered Design

Cornell University, Department of Computer Science