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  Applied Computer Vision and Machine Learning in Digital Humanities (AppCV)

Lecturers
Dr. Hafeez Anwar, Prof. Dr. Peter Bell

Details
Praxisseminar
2 cred.h, ECTS studies, ECTS credits: 5
nur Fachstudium, geeignet als Schlüsselqualifikation, Sprache Englisch
Time and place: Wed 14:00 - 16:00, 02.313; single appointment on 13.11.2019 14:00 - 16:00, 02.319 Konferenzraum

Contents
The course will cover computer vision and machine learning methods applied to image data from arts such as paintings, posters, sketches and other objects of cultural heritage. To this end, practical coding sessions will be conducted to perform image-based classification, localization and segmentation on art images. We will discuss the image data used in the course at the beginning, so think about content you like to work on.

ECTS information:
Credits: 5

Additional information
Keywords: Digital Humanities, Computer Vision
Expected participants: 20, Maximale Teilnehmerzahl: 20
Registration is required for this lecture.
Registration starts on Monday, 9.9.2019, 9:00 and lasts till Thursday, 10.10.2019, 10:00 über: StudOn.

Verwendung in folgenden UnivIS-Modulen
Startsemester WS 2019/2020:
Daten erfassen in den Digital Humanities (DH Daten)
Wahlpflichtbereich (FPO 2018) (Wahl2018)
Wahlpflichtmodul Digitale Geistes- und Sozialwissenschaften in Theorie und Praxis (Wahlpflicht FPO 2016)

Department: Interdisziplinäres Zentrum Digitale Geistes- und Sozialwissenschaften
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