NutritionVerse Direct

NutritionVerse is a research initiative focused on developing accurate and efficient methods for estimating dietary intake using computer vision. Current efforts center on creating and utilizing large-scale datasets of 2D and 3D food images (NutritionVerse-Real, NutritionVerse-Synth, NutritionVerse-3D) to train and evaluate deep neural networks, including vision transformer architectures, for directly predicting nutritional content from food images. This work aims to improve the accuracy of dietary assessment, particularly for vulnerable populations like the elderly, by automating a process currently reliant on error-prone self-reporting methods. The open-source nature of the datasets and associated tools is accelerating progress in this field.