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Computer Vision for Retail: Building a scalable Item Recognition system

November 03, 2022
Computer Vision & NLP

Computer Vision based item recognition has several applications in retail but is riddled with problems in scalability and efficiency. There are typically several thousand items in a store and the items vary even more across multiple stores. Maintaining recognition accuracy across all stores and promising scalability to new stores is paramount to a successful item recognition system. In this presentation, we'll look into some of the common problems that affect item recognition in retail stores, and possible solutions to combat these problems.

Sailesh Krishnamurthy, Machine Learning Manager - 7-Eleven