NutriTransform: Estimating Nutritional Information From Online Food Posts [PDF]
arXivDeriving nutritional information from online food posts is challenging, particularly when users do not explicitly log the macro-nutrients of a shared meal. In this work, we present an efficient and straightforward approach to approximating macro-nutrients based solely on the titles of food posts. Our method combines a public food database from the U.S.
arxiv
Nutrition Facts, Drug Facts, and Model Facts: Putting AI Ethics into Practice in Gun Violence Research [PDF]
Objective: Firearm injury research necessitates using data from often-exploited vulnerable populations of Black and Brown Americans. In order to minimize distrust, this study provides a framework for establishing AI trust and transparency with the general population.
arxiv +1 more source
Recommended Dietary Allowances should be used to set Daily Values for nutrition labeling [PDF]
, 2006 Suzanne P. Murphy, Susan I. Barr
openalex +1 more source
RoDE: Linear Rectified Mixture of Diverse Experts for Food Large Multi-Modal Models [PDF]
arXivLarge Multi-modal Models (LMMs) have significantly advanced a variety of vision-language tasks. The scalability and availability of high-quality training data play a pivotal role in the success of LMMs. In the realm of food, while comprehensive food datasets such as Recipe1M offer an abundance of ingredient and recipe information, they often fall short
arxiv
NutriBench: A Dataset for Evaluating Large Language Models on Nutrition Estimation from Meal Descriptions [PDF]
arXivAccurate nutrition estimation helps people make informed dietary choices and is essential in the prevention of serious health complications. We present NutriBench, the first publicly available natural language meal description nutrition benchmark. NutriBench consists of 11,857 meal descriptions generated from real-world global dietary intake data.
arxiv
MetaFood3D: 3D Food Dataset with Nutrition Values [PDF]
arXivFood computing is both important and challenging in computer vision (CV). It significantly contributes to the development of CV algorithms due to its frequent presence in datasets across various applications, ranging from classification and instance segmentation to 3D reconstruction.
arxiv
The production of intrinsically labeled milk protein provides a functional tool for human nutrition research [PDF]
, 2009 Luc J. C. van Loon +8 more
openalex +1 more source
Front-of-pack nutrition label stimulates healthier product development: a quantitative analysis [PDF]
, 2010 E.L. Vyth +4 more
openalex +1 more source
Use of Labelled Plasma Proteins in the Study of Nutritional Problems
, 1957 A. S. McFarlane
openalex +1 more source
Demystifying CO2: lessons from nutrition labeling and step counting [PDF]
arXivThere is growing concern about climate change and increased interest in taking action. However, people have difficulty understanding abstract units like CO2 and the relative environmental impact of different behaviors. This position piece explores findings from nutritional labeling and step counting research, two domains aimed at making abstract ...
arxiv