The Library as Data: Exploring Digital Collections through Machine Learning

Description

The Library as Data: Exploring Digital Collections through Machine Learning
Anne Alexander (CDH Learning), Huw Jones (Library Digital Humanities Coordinator, CDH Lab)
Recent advances in machine learning are allowing computer vision and humanities researchers to develop new tools and methods for exploring digital image collections.
Neural network models are now able to match, differentiate and classify images at scale in ways which would have been impossible a few years ago.
This session introduces the IIIF image data framework, which has been developed by a consortium of the world’s leading research libraries and image repositories, and demonstrates a range of different machine learning- based methods for exploring digital image collections.
We will also discuss some of the ethical implications of computer vision and the Digital Humanities.
Booking for this event is now open. Click here to book your place.
Places are limited and must be booked in advance.