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Reducing Training Data Requirements with Cognitive Cues
The aim of this project is to allow for Deep Learning approaches utilized by Eye For Infrastructure to rely less heavily on labelled training data as well as to produce more human-understandable and actionable results. The improved system would allow for a seamless integration with municipalities for automated infrastructure assessment.
Faculty Supervisor:
John Zelek;Alexander Wong
Student:
David Abou Chacra
Partner:
Eye For Infrastructure Inc.
Discipline:
Engineering
Sector:
Other
University:
University of Waterloo
Program:
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