From a Europeana Pro Blog Post:
Enrichment plays a fundamental role in Europeana’s activities. In our context, enrichment can be defined as generating metadata from the data provided by our partners, adding extra value to the data we receive. We use the combination of original and enriched metadata for indexing our records, and this lets us build functionalities that allow people to search and browse our collections, and receive recommendations. Achieving automatic enrichment using machine learning algorithms is one of the objectives of the Europeana Strategy 2020-2025, triggering projects such as Saint George on a Bike.
Europeana’s R&D team is exploring how computer vision techniques (systems which can make sense of visual data) can improve the enrichment Europeana conducts. We decided to start a pilot on image classification, where we build a model that is able to classify images from digitised cultural heritage objects into a set of predefined categories. We believe that a system trained with the selected categories would prove useful in enriching our collections.
Direct to Classification Pilot Project on Github