An introduction to object detection with deep learning

This article is part of "Deconstructing artificial intelligence," a series of posts that explore the details of how AI applications work (In partnership with Paperspace). Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the key problems neural networks can solve is detecting and localizing objects in images. Object detection is used in many different domains, including autonomous driving, video surveillance, and healthcare.