An AI Computer Vision Combo to Reveal Real Ingredients of Any Online Recipe!

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Even in today's fast-paced digital era, a picture is still worth a thousand words. But, did you know that images have become the most potent source of Big Data Analytics for AI research teams? And, incredibly the novel image analytics research brings together the powerful capabilities of Artificial Intelligence (AI), Machine Learning, Computer Vision and Neural Networking. In the latest blog, popular Social Media technology and Big Data aggregation company Facebook has revealed how its AI research team has found out the "secret' ingredient that goes into every recipe by simply looking at its picture. Facebook AI research team created a system that smartly analyzes the photograph of food items and creates a recipe "from scratch." The combination of AI and Computer Vision techniques achieves this unique feat of laying down the entire list of ingredients that went into the cooking bowl to create the dish. Facebook calls this "Inverse Cooking" system. Computer Vision (also called CV) is used to refer to the branch of AI technique used to extract inference from image data based on what a computer sees or captures through its camera lens, smart devices, and vision-related engineering. It also includes images extracted from 3D models, drones, AR VR, object detection and online search engines. Today, CV is recognized as one of the most compelling AI techniques within the Big Data industry. By 2030, the CV industry and associated hardware market are slated to become a $28 billion economy. Michal Drozdzal, a Research Scientist at Facebook AI Research, explains the data engine that drives the inverse cooking system for Facebook's CV technique. Michal states, "Inverse Cooking system splits the image-to-recipe problem into two parts: One neural network identifies the ingredients that it sees in the dish, while the other devises a recipe from the list." Michal added, "The enhanced computer vision system is more effective than retrieval image-to-recipe techniques, which work to recognize the tasty treat in question and then search a database of preexisting recipes.

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