Introduction to Image Classification
Image classification is a fundamental task in computer vision, a field of artificial intelligence focused on teaching computers to interpret and understand visual information from the world. Image classification specifically involves the process of assigning a label or category to an input image. The goal is to enable computers to recognize and categorise objects, scenes, or patterns within images, just as a human would. With this hands-on workshop, participants will learn how to perform an image classification task using a convolutional neural network (CNN). Through coding exercises in Python, attendees will load and pre-process a set of images to build, train and evaluate a CNN to make classification predictions.
This workshop will take place over two days mornings, Monday 15 June 2026 and Tuesday 16 June 2026, 9:00am – 1:00pm (AEST) each day. Please only register if you can fully commit to attending both 4 hour sessions.
