Pic2Recipe Uses a Neural Network to Predict Recipes Based on Photos
Laura McQuarrie — July 20, 2017 — Lifestyle
References: im2recipe.csail.mit.edu & digitaltrends
'Pic2Recipe' is the name of a new recipe tool developed by MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) to supply a list of ingredients for food photos based on image recognition.
Since it is quite common for a person to come across a delicious-looking dish in a photo that is not accompanied by a recipe, Pic2Recipe helps people analyze images. Amazingly, the tool is able to boast a 65% success rate when it comes to predicting the individual ingredients in a recipe.
Some of the most popular recipe additions include staple ingredients like butter, sugar, olive oil, water and eggs, with most recipes featuring an average of nine ingredients. The potential uses of Pic2Recipe are limitless, meaning that in the future, people may be able to use the tool to track their nutrition goals, make dishes at home or identify recipes that have ingredients that conflict with their diets or food preferences.
Since it is quite common for a person to come across a delicious-looking dish in a photo that is not accompanied by a recipe, Pic2Recipe helps people analyze images. Amazingly, the tool is able to boast a 65% success rate when it comes to predicting the individual ingredients in a recipe.
Some of the most popular recipe additions include staple ingredients like butter, sugar, olive oil, water and eggs, with most recipes featuring an average of nine ingredients. The potential uses of Pic2Recipe are limitless, meaning that in the future, people may be able to use the tool to track their nutrition goals, make dishes at home or identify recipes that have ingredients that conflict with their diets or food preferences.
Trend Themes
1. Image Recognition - Using neural networks for image recognition can revolutionize various industries by enabling advanced analysis and decision-making based on visual data.
2. Recipe Prediction - Predicting recipes based on image recognition can enhance the cooking experience and provide convenient solutions for meal planning and ingredient tracking.
3. Nutrition Tracking - Incorporating image recognition technology into nutrition tracking apps or devices can simplify the process of monitoring and managing dietary goals.
Industry Implications
1. Food and Beverage - The food and beverage industry can benefit from image recognition recipe tools by offering innovative recipe planning and personalized cooking experiences for consumers.
2. Health and Wellness - Health and wellness industry can leverage recipe prediction technology to develop nutrition tracking tools and platforms that cater to individual dietary needs and preferences.
3. Technology - The technology industry can explore opportunities to integrate image recognition into various applications, such as smart kitchen appliances, cooking apps, and grocery shopping platforms.
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