ARTigo: Data from Social Tagging with Art-historical Images
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 artw...
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| Format: | Article |
| Language: | English |
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Ubiquity Press
2024-12-01
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| Series: | Journal of Open Humanities Data |
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| Online Access: | https://account.openhumanitiesdata.metajnl.com/index.php/up-j-johd/article/view/247 |
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| author | Stefanie Schneider |
| author_facet | Stefanie Schneider |
| author_sort | Stefanie Schneider |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-c89772c5cf4e45a193ee00eaa56c9bdc |
| institution | Kabale University |
| issn | 2059-481X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Journal of Open Humanities Data |
| spelling | doaj-art-c89772c5cf4e45a193ee00eaa56c9bdc2025-01-08T08:37:07ZengUbiquity PressJournal of Open Humanities Data2059-481X2024-12-0110545410.5334/johd.247247ARTigo: Data from Social Tagging with Art-historical ImagesStefanie Schneider0https://orcid.org/0000-0003-4915-6949Institute of Art History, LMU Munich, MunichThe 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.https://account.openhumanitiesdata.metajnl.com/index.php/up-j-johd/article/view/247crowdsourcingsocial taggingserious gamescultural heritage |
| spellingShingle | Stefanie Schneider ARTigo: Data from Social Tagging with Art-historical Images Journal of Open Humanities Data crowdsourcing social tagging serious games cultural heritage |
| title | ARTigo: Data from Social Tagging with Art-historical Images |
| title_full | ARTigo: Data from Social Tagging with Art-historical Images |
| title_fullStr | ARTigo: Data from Social Tagging with Art-historical Images |
| title_full_unstemmed | ARTigo: Data from Social Tagging with Art-historical Images |
| title_short | ARTigo: Data from Social Tagging with Art-historical Images |
| title_sort | artigo data from social tagging with art historical images |
| topic | crowdsourcing social tagging serious games cultural heritage |
| url | https://account.openhumanitiesdata.metajnl.com/index.php/up-j-johd/article/view/247 |
| work_keys_str_mv | AT stefanieschneider artigodatafromsocialtaggingwitharthistoricalimages |