Understanding the architecture and applications of visual search

Visual search uses deep neural network technology to detect and classify an image and its contents and use it to search within an image database to return a list of matching results. Visual search is particularly relevant to the retail industry as it allows retailers to display a host of images similar to a customer's uploaded image to increase sales revenue.Visual search can be combined with voice search to enhance the search further. Visual information is more relevant than textual information and this results in the greater popularity of visual search. A host of different companies, including Google, Amazon, Pinterest, Wayfair, Walmart, Bing, ASOS, Neiman Marcus, IKEA, Argos, and others have all built powerful visual search engines to improve their customer experience.

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