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A Whistle-Stop Tour Through Object Detection Using AI  header image

09.05.22 @ 13:00-13:30

A Whistle-Stop Tour Through Object Detection Using AI

Brought to you by Sheffield Hallam University

Join academic experts from Sheffield Hallam University for a whistle-stop tour through object detection using AI.

About this event

Object detection in complex real-world scenes is widely regarded as one of the most challenging problems in computer vision. Object detection has recently started to gain a lot of interest – predominantly as a key technology in self-driving cars, allowing the vehicle to identify pedestrians, driving lanes, other motor vehicles, road signs, or obstructions in the road. Although various machine learning methods (such as the Viola-Jones framework and Histogram of Oriented Gradients (HOG)) have been around for the past 20 years or so, it is only recently with advances in deep learning that object detection algorithms have achieved a useful level of accuracy in anything more than niche applications.

Dr Alex Shenfield, Associate Professor in Machine Learning will provide a whistle-stop tour through some recent developments in applying deep learning to object recognition (with imagery and examples), before discussing some current and future applications of these techniques and future research directions.


Monday 9th May 2022
1:00pm - 1:30pm


Careers Connect, Hallam Square, Sheffield City Centre, Sheffield S1 2PR

Additional Information:

This event is funded by Digital Innovation for Growth, a free service that helps SMEs in the Sheffield City Region make the most of digital technology, so you can grow your business, improve your products or services, maximise efficiency and adopt new ways of working.

This event is being ran as part of the Sheffield Digital Festival.

Government’s COVID-19 guidance will be adhered to. Refreshments will be provided.

Should you have any questions prior to the event, please do not hesitate to email us at

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Careers Connect, Hallam Square, Sheffield City Centre, S1 2PR


09.05.22 @ 13:00-13:30
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This event was from the 2022 Digital Festival


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