From the Eyes of a Machine: Image Recognition Technologies
Image recognition technologies (IRTs) are tools that are capable of taking images, detecting and classifying objects within those images, and outputting some desired result based on the analysis. With computers becoming more powerful and image data availability increasing, IRTs are continually improving, enabling humans to use them for applications like optical character recognition (OCR), healthcare, and facial recognition.1 IRTs are numerous and complex, and they have a growing presence in the image recognition market.2 A brief overview of IRTs is provided, followed by an introduction to the machine learning tools used to implement IRTs, and an overview of their advantages and disadvantages.
Georgetown University Law Center, J.D. Candidate 2022; Yale University, Ph.D. in Physics 2019; University of Rochester, B.S. in Physics 2012 & B.A. in Mathematics 2012.