Actions
  • shareshare
  • link
  • cite
  • add
add
auto_awesome_motion View all 6 versions
Research data . Dataset . 2021

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

van Zuijlen, Mitchell; Lin, Hubert; Bala, Kavita; Pont, S.C. (Sylvia); Wijntjes, M.W.A. (Maarten);
Open Access
Published: 05 Mar 2021
Publisher: 4TU.ResearchData
Country: Netherlands
Abstract

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.

Subjects by Vocabulary

ACM Computing Classification System: ComputingMethodologies_COMPUTERGRAPHICS

Subjects

Visual Arts and Crafts, Psychology, materials, paintings, artistic depiction of materials, bounding boxes, extreme clicks, human annotation, deep learning data, art history, perception, Time: ~ roughly 0AD to now, FOS: Arts (arts, history of arts, performing arts, music), FOS: Psychology

moresidebar