Therefore, in this article, of the visual search industry and the challenges it poses, Microsoft and Pinterest.. This would mean that we could take picture with smartphone of chair, for example, and have the technology return pictures of suitable rugs to accompany the style of the chair.. The result can be mesmerising, as in the below interpretations of image of Georges Seurat's 'A Sunday Afternoon on Island of La Grand Jatte by Google's neural networks.. What sets Bing visual search apart is the ability to search within images and then expand this out to related objects that might complement the user's selection.. A user can select specific objects, hone in on them, and purchase similar items if they desire. It's worth mentioning that Pinterest's visual search has been able to do this for some time. But the important difference between Pinterest's and Bing's in this regard is that Pinterest can redirect users to Pins that businesses have made available on Pinterest and not all of them might be shoppable. The bigger challenge is that the processes involved in arriving at conclusions are so complex, obscured, and multi-faceted that even Google's engineers struggle to keep track.. Drawing on the rich history of psychology, scientists were able to apply within their technology the same biases we apply as people when we classify items.. DeepMind is one of the most essential components of Google's into 'AI-first company, so we can expect findings like the above to be incorporated into visual search in the future. The launch of its Lens March this year was real statement of intent and Pinterest has made number of senior hires from Google's image search teams to fuel development.. Using smartphone, Pinner can take picture within the app and have it processed with degree of accuracy by Pinterest's technology..
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