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This webinar presents the eScriptorium project, which aims to provide a user-friendly and open platform for the automatic, semi-automatic and manual transcription of texts from digitised images.
Insects: classification chart showing various varieties and stages of development, including larvae, beetles and butterflies. Coloured lithograph, 1850/1870?
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!
The Amsterdam based Cultural AI Lab accelerates research on the intersection of humanities and artificial intelligence. Explore the lab and its projects in this webinar.
This webinar introduces the Qurator project, which develops an innovative technology platform that provides services to support knowledge workers in various industries to address the challenges they face when curating digital content.
This webinar explores the Saint George on a Bike project, which aims to improve the quality and quantity of open metadata associated with European cultural heritage imagery with Machine Learning.
Mollusc shells: classification chart showing 132 varieties, with a diagram below outlining details of the three main shapes. Coloured lithograph, 1830/1860?
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.
