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Applying AI Techniques to Estimate Suspect/Victim Age

Supervisors

Harjinder Lallie
(http://www2.warwick.ac.uk/fac/sci/wmg/people/profile/?wmgid=856 http://www2.warwick.ac.uk/fac/sci/wmg/people/profile/?wmgid=856)

Suitable for

MSc in Computer Science
Mathematics and Computer Science, Part C
Computer Science and Philosophy, Part C
Computer Science, Part B
Computer Science, Part C

Abstract

"Law enforcement agencies are often tasked with determining the age of a suspect or victim. In these circumstances, age determination is often guided by an investigator's professional judgement and can be subjectively biased. This project requires you to apply AI techniques to estimate the age of people in a dataset of images. Datasets such as DEX (available from https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/) provide exciting opportunities for testing age estimation algorithms. Useful reference(s): Rothe, R., Timofte, R. and Van Gool, L., 2015. Dex: Deep expectation of apparent age from a single image. In Proceedings of the IEEE International Conference on Computer Vision Workshops (pp. 10-15)."

Prerequisites: Suitable for someone who has some AI experience. Knowledge/experience of digital forensics is not critical