"Everything has beauty, but not everyone sees it." Visual aesthetics is a widely opined subject. There has never been one answer to, "Is this picture good?" until today. The persistent problem of quantifying the beauty of an image is now solved. Artificial intelligence can now "see" beauty and suggest what will be called beautiful by others. It is now possible to know whether an image will become popular or not without having to go through the trouble of consulting multiple experts. The AI research group at ParallelDots has been able to build the technology that will help users know, with a high degree of certainty, if what is in their image stock will make good noise if it goes on to become public.
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This article is related to
machine learning,ai,artificial intelligence,visual analytics
machine learning,ai,artificial intelligence,visual analytics
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