We'll share information and lessons learned from developing a scalable visual search engine to handle a massive volatile inventory like eBay. We'll describe how eBay data is challenging for visual search, how to leverage a single deep neural network to perform multiple tasks efficiently, how to deploy our solution in a distributed cloud infrastructure, and which optimizations we have made for a trade-off between relevance and latency. We'll give examples and insights to benefit computer vision practitioners in the industry who intend to build up visual search engines from scratch.  Back