Continuous 3D food reconstruction: PerBite tops CVPR 2026

Continuous 3D food reconstruction challenge winners at MetaFood CVPR 2026

LogMeal’s Team PerBite won first place at the MetaFood CVPR 2026 challenge on continuous 3D food reconstruction while eating. This achievement demonstrates LogMeal’s leadership in dynamic 3D food reconstruction and portion estimation for nutrition AI

Food Waste and SDG 12.3: How LogMeal is Leading Change

Food Waste and SDG 12.3- How LogMeal is Leading Change

LogMeal’s AI-powered food recognition system offers a superior alternative to the traditional 24-hour recall method, providing healthcare professionals with accurate, real-time data. Validated by organizations such as Nestlé, EIT Health, and University Medical Center Groningen, the LogMeal AI Food Recognition system is revolutionizing nutritional monitoring.

LogMeal’s AI Food Recognition: A Validated 24-Hour Recall Alternative

LogMeal-AI-Food-Recognition-A-Validated-24-Hour-Recall-Alternative

LogMeal’s AI-powered food recognition system offers a superior alternative to the traditional 24-hour recall method, providing healthcare professionals with accurate, real-time data. Validated by organizations such as Nestlé, EIT Health, and University Medical Center Groningen, the LogMeal AI Food Recognition system is revolutionizing nutritional monitoring.

Recommended Daily Intake

recommended-daily-intake-feature

Discover the LogMeal feature that calculates recommended daily intakes of energy, carbohydrates, proteins and fats for every user.

Food group detection

LogMeal-API-food-group-detection

“Food group detection” is a LogMeal API feature that detects the predominant food groups of your reported dishes as: meat, dessert, dairy products, seafood, rice, fruit, noodles/pasta, vegetables, fish, bread, fried food, egg, soup, cereal/grain, nuts, alcohol, beverage, soda, tubers and derivatives, sauces and dressings, legumes

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