Visual AI and the Digital Humanities: Practical approaches

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University of Exeter Digital Humanities Lab

Digital Humanities Seminar Room 1

Exeter

United Kingdom

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Workshop on using AI approaches to search and manipulate image collections. No prior experience required.

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by Dr Giles Bergel, University of Oxford

Computer vision is perhaps AI’s most visible success story. This hands-on workshop will show attendees how to use free and open-source software to search, classify, compare and annotate large collections of images. Online demos and datasets will be provided, but attendees are encouraged to bring their own images. The workshop will be followed by a seminar discussing the state of the art in computer vision within DH, and exploring critical and ethical issues around such controversial technologies as facial recognition.

Attendees will need to bring a laptop. All the exercises can be followed either through online demos, or by installing computer vision software on your own device (if so, please follow this guide to pre-installing the software in advance of the workshop). No other preparation is required. If you are unable to bring a laptop, you may borrow one from the DH Lab, email digitalhumanities[at]exeter.ac.uk to confirm.

For those who work with large image sets, there may be the opportunity to conduct work on your own images in Dr Bergel’s workshop on visual AI. Please get in touch with the Digital Humanities team to help facilitate this (digitalhumanities@exeter.ac.uk).

Dr. Giles Bergel is Digital Humanities Research Ambassador in the Visual Geometry Group at the University of Oxford.

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Don't forget to join us for Dr Bergel's seminar following the workshop! 4-5.30pm, DH seminar room 1 (no booking required): AI has been forecast to enhance, replace or efface diverse human capabilities. Computer vision has been at the leading edge of the current AI boom, but is only now starting to impact and to be understood within the humanities. This talk, complementing a hands-on workshop earlier in the day will give an overview of the current state of the art in computer vision applications in DH, exploring both DH’s critical and ethical contributions to the debate around such controversial technologies as facial recognition, and the technical improvements that humanists have made to artificial visual understanding.

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University of Exeter Digital Humanities Lab

Digital Humanities Seminar Room 1

Exeter

United Kingdom

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