José Eduardo joined the European Library in May 2020 as a Machine Learning Engineer in the R&D department. He was born and raised in Granada (Spain), where he studied Physics. He also holds a master in Applied Mathematics from TU Delft. After gaining some experience as a Research Assistant and Software Engineer he is working on use cases of Artificial Intelligence for Europeana.
In our final post about our image classification pilot, we explore the results of using a model which can classify a digitised cultural heritage object in multiple ways, and share our future plans for this work.
Previously, we introduced you to the Europeana Foundation’s image classification pilot, for which we had selected a target vocabulary and gathered a dataset to train a model to classify images from digitised cultural heritage. In this post, we analyse the results of the training, identify some challenges with our current approach, and propose future lines of work!
With lowered barriers to access and the development of new practices for Artificial Intelligence (AI), it’s no surprise that AI-related activities in the cultural heritage sector are increasing - a topic in focus on this month on Europeana Pro. In this post, we share work taking place at the Europeana Foundation to create an image classification pilot which uses computer vision algorithms to improve metadata in our records.