Date
6:30pm - 8:00 pm
Sat, 16 Jan 2021
Topics
Classical Computer Vision: Why and How?
OpenCV API for Classical CV
Convolutional Neural Networks (CNN)
Transfer Learning of Deep Image Models
Resources for Computer Vision
Venue
Resources
Presenters
Rama Venkatesh
Agatha Tjandra
Georgie Lee
Ang Yi Zhe
Jet New
Supporters
Ng Shuen Jin
Tan Xue Ying
Ang Ming Liang
Zheng Peng
Chang Zi Ming
Fascinated by computer vision but don’t know where to start? Wish to create your very own computer vision model? Join us for our workshop on 16th January where we delve deep into both the theoretical and practical aspects of computer vision and deep learning. We’ll start with an introduction to classical computer vision and the OpenCV library, where you will learn about image processing techniques, edge detection, template matching and more, followed by deep learning concepts for object detection. You’ll be exposed to a variety of convolutional neural network-based image models that you can choose to use when building your model for the Data Science Competition. Finally, we will elaborate on how you can leverage Transfer Learning to simplify and accelerate the model development process.