Xomnia is a word combining the letter ‘X’ – the unknown – and “Omnia” – Latin for everything. Our team of data scientists and big data engineers are trained to find the undefined – X – in all the relevant data sources – Omnia. This unknown – X – is untapped business value. Combining the X and Omnia you get the Xomnia spirit. Eager, curious and dedicated people, who have the belief that the future is big data.
A picture is worth a thousand words. So how do we turn a bunch of pixels into valuable insights? The answer lies in a variety of digital image processing techniques which allow the computer to ‘see’, giving rise to the term computer vision. The prevalence of image data is hard to deny, and applications of computer vision techniques are everywhere: from the filters on your Instagram photos to autonomously driving vehicles. Traditional data science applications include analysis of medical images and security footage.
This course will start with the basics: what exactly does image data look like? From there, you will learn to apply several image processing techniques like convolution, and continue into image analysis algorithms like edge and feature detection. After this course, you will be able to apply OpenCV to perform a range of analysis techniques on digital images.
Requirements: The course requires basic knowledge of Python.