Deep-learning-based Fine-grained Furniture Classification and Winning Strategy Recommendation

The project aims to develop a novel deep learning based computer vision system to identify different categories and sub-categories of the furniture and the associated attributes (such as color, shape, style, and material). It will also develop an automated recommendation system that can learn from the massive historical data and the on-going stream of data to adaptively adjust the parameter combination for each product to maximize the chance of winning the competition against other companies. The competitive advantage gained by the new technologies developed through this project will help the partner organization, Cymax, to further grow and expand its business.

Faculty Supervisor:

Jun Chen

Student:

Huan Liu

Partner:

Cymax Canada

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program: