Carleton University - School of Computer Science Honours Project
Winter 2019
Web Photo Gallery With Face Detection & Classification
Bernard Laveaux
SCS Honours Project Image
ABSTRACT
Many companies, including Microsoft, Google, Facebook, and Apple are moving their traditionally desktop based applications to the web via modern single-page responsive web applications. This paired with face detection and classification has allowed them to power major technological advancements on their platforms, such as tagging individuals on Facebook photos, or automatically sharing photos as albums with close friends in Google Photos. In this report we build a similar Photo Gallery web application to better understand these underlying technologies and how they are shifting the future of software development to a seemingly infinitely scalable web. This report explains the common technologies used for building responsive, scalable web applications and integrations with third-party services for providing face detection and classification.