Machine Vision Bootcamp

Machine Vision Bootcamp Discover the world of image processing in our informative bootcamp! In this event, you will dive into the essential techniques of machine vision and enhance your skills through hands-on applications. Whether you are a professional or simply interested, this bootcamp offers you valuable insights! What can you expect? We start with an introduction that gives you a clear overview of the image processing processes. Afterward, we assess the participants' skills to place you in suitable groups. In the first step, you will practice capturing data for image processing using special sensors such as industrial color cameras, depth cameras, or our Alvisto system. In the next step, you will learn how to annotate the data using modern tools – however, prepared annotations will also be available. After that, you will explore ways to preprocess the data using proven methods and a user-friendly toolbox of existing code. At the core of our bootcamp, you will choose from various classification, detection, and segmentation methods that are available to you and develop your own model! We will show you how to select evaluation metrics and check and improve the performance of your model. Why should you participate? The topics of image processing are relevant in many industries. In our bootcamp, you will get to know the entire process of an image processing system – and how to identify and implement applications and solutions in your own work environment. Take the opportunity to work live with your own material and receive helpful tips from our experts. Requirements: Participants should bring their own laptop (with USB-B port), but a workstation will also be provided for each workgroup. This bootcamp is aimed at individuals with some programming experience (or technically savvy), but without specific knowledge in the field of machine learning. Sign up now and secure your spot in our image processing bootcamp! Don’t miss this opportunity to expand your skills in this area! Directions: For directions, please check the information from AI-Village: https://aivillage.de/anfahrt/