ARTigo: Data from Social Tagging with Art-historical Images

Schneider, Stefanie (2024): ARTigo: Data from Social Tagging with Art-historical Images. Journal of Open Humanities Data, 10: 54. pp. 1-6. ISSN 2059-481X

Abstract

The ARTigo dataset, generated from over 10 million annotations, is a product of a citizen science project developed by the Institute of Art History and the Institute of Computer Science at LMU Munich. The project leverages Games with a Purpose (GWAPs) to foster a playful environment for tagging artworks. In these GWAPs, two anonymous players are given an image to annotate with textual or visual descriptors within a limited time frame. The annotations serve to improve the accessibility of art-historical images and offer vast research potential well beyond their utility as training datasets for Computer Vision (CV) algorithms.

• Dokumententyp: Artikel (LMU)
• Organisationseinheit (Fakultäten): 09 Geschichts- und Kunstwissenschaften; 09 Geschichts- und Kunstwissenschaften > Department Kunstwissenschaften > Kunstgeschichte
• DFG-Fachsystematik der Wissenschaftsbereiche: Geistes- und Sozialwissenschaften
• DFG: Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 161260864
• DFG: Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 491502892