ARTigo: Social Image Tagging (Raw Data)

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Authors: François Bry, Hubertus Kohle, Thomas Krefeld, Christian Riepl, Stefanie Schneider, Gerhard Schön, Klaus U. Schulz
Cited by: 0

Abstract

ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.

Fields of Study & Subjects

Image Retrieval and Classification Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 August 2026
Language
EN
Document type
Dataset