prometheus is a distributed digital image archive that currently makes more than 3,496,000 images of over 120 databases from institutes, research facilities and museums researchable on a common user interface.
Situated at the Institute of Art History of the University of Cologne, prometheus is supported by the non-profit association prometheus e.V. which promotes the ongoing developments of the digital media for science and research.
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Since 2021, an image similarity search has been integrated into prometheus, with which you can find similar images for an image within the image archive.
It was developed and integrated by Francisco Mondaca and Jörg Koch within Task Area 3 of the NFDI4Culture project. Based on the self-supervised learning algorithm SwAV (Swapping Assignments between Views), image vectors were created that are pre-calculated for all images in the image archive and stored in the index so that search engine queries are reduced to calculating the distance between these vectors stored in the index. Further image vectors are created at regular intervals for all new images in prometheus and stored in the index.
The results of the image similarity search can be found under the images in the image archive. Initially, four “Similar images” are displayed there. With one click you can directly “Show all”.
