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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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2024-12-01
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| Series: | Journal of Open Humanities Data |
| Subjects: | |
| Online Access: | https://account.openhumanitiesdata.metajnl.com/index.php/up-j-johd/article/view/247 |
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| Summary: | 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. |
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| ISSN: | 2059-481X |