Workshop: A hands-on introduction to computer vision and deep learning
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CENSIS, Inovo Building, Glasgow G1 1RD
A DataFest 19 Fringe Event
Please join CENSIS and Thales for a free, one-day interactive workshop, introducing delegates to some basic concepts of computer vision using OpenCV, Python and deep learning.
You will be taken step-by-step through the code development of an object detection algorithm. By the end of the workshop you will have a basic object detection algorithm implemented on your laptop.
The event is free and lunch and refreshments will also be provided.
By applying object detection, you can determine what is in an image, and where it is. Object detection is an integral part of many current and emerging systems. It is used in applications ranging from automotive guidance and people counting in the built environment to defect detection and robotics in manufacturing.
An introduction to the YOLO (“You Only Look Once”) object detector will be presented, including the detector model and architecture, how the object detector works, its advantages and limitations.
We will use a large-scale object detection, segmentation and captioning dataset called COCO. COCO is trained on 80 object categories, such as people, bicycles, cars and trucks, airplanes, stop signs, animals and many more.
The YOLO object detector will first be applied to detect objects in images. The YOLO object detector will then be applied to detect objects in video streams.
Who should attend?
The workshop is open to companies of any size, the public sector, academic staff and doctoral/post-doctoral researchers. Regrettably the event is not suitable for undergraduates or taught postgraduate students.
This event is an overview of basic tools and techniques in the space, and is aimed at people who have a technical background with some programming experience. It is not designed for experienced engineers in computer vision or machine learning.
On the day, you will need to bring your own Windows-based laptop.
Apply to join us
The workshop is limited to a maximum of 10 delegates, and we expect there to be lots of interest in this seminars. Due to the limited number of places, we have to give priority to applicants who can demonstrate an interest in this space. To apply for the seminar, please email us with:
- Your name and contact details (email and telephone number)
- Job title and current employer
- Please let us know in a couple of sentences why you are interested in attending