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Search By Image: Citizen Science and Deep Learning for next-generation archives

Presentation #301.06 in the session “Machine Learning in Astronomy: Data Compression, Representation and Visualization (Meeting-in-a-Meeting)”.

Published onJun 18, 2021
Search By Image: Citizen Science and Deep Learning for next-generation archives

At present it is only possible to search astronomical archives of images via metadata. Here we present a concept and prototype systems for providing “search by image”, allowing users to find complex images similar to user-provided or user-selected examples. We will discuss transfer learning approaches to image sorting, as well as interdisciplinary work using self-supervised learning. We will also discuss our citizen science project that provides a test data for these systems, and the future of such endeavors.


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