Real-Time Object Detection and Identification

Machine learning is a field of computer science that gives computer systems the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed [1] . In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Object detection and identification is one of the classic but extremely important problems in computer vision. Convolution Neural Networks (CNN) is one of the most powerful tools for Artificial Intelligence and Machine Learning problem. Object recognition is concerned with determining the identity of an object being observed in the image from a set of known labels. Oftentimes, it is assumed that the object being observed has been detected or there is a single object in the image. This project aims to develop vision systems that match the cognitive capabilities of human beings, systems that can tell the specific identity of an object being observed.