Machine Learning with AWS - Computer Vision and Its Applications
Computer Vision and Its Applications This section introduces you to common concepts in computer vision (CV) and explains how you can use AWS DeepLens to start learning with computer vision projects. By the end of this section, you will be able to explain how to create, train, deploy, and evaluate a trash-sorting project that uses AWS DeepLens. Introduction to Computer Vision Summary Computer vision got its start in the 1960s in academia. Since its inception, it has been an interdisciplinary field. Machine learning practitioners use computers to understand and automate tasks associated with the visual word. Modern-day applications of computer vision use neural networks. These networks can quickly be trained on millions of images and produce highly accurate predictions. Since 2010, there has been exponential growth in the field of computer vision. You can start with simple tasks like image classification and objection detection and then scale all the way up to the nearly real-time vide