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.
The EuropeanaTech AI in relation to GLAMs Task Force worked to develop an overview of artificial intelligence (AI) in European digital cultural heritage Research and Development projects. Explore highlights and findings from the report below!
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!
On Europeana Pro this month, we are exploring AI-related activities in the cultural heritage sector, and shining a light on women leading research, projects and work in this area. Today, Dr Cynthia Liem discusses her career as a musician and researcher, and the possibilities AI holds for the cultural heritage and performing arts sectors.
The EuropeanaTech Community and Europeana Foundation are delighted to introduce a new webinar series to explore the opportunities and challenges of working with Artificial Intelligence in the cultural heritage and arts sector. We invite you to join us!
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.