AI-based calorie and macronutrient estimation for Lebanese dishes using single-view images

Elbassuoni, Shady

AI-based calorie and macronutrient estimation for Lebanese dishes using single-view images

dc.contributor.author	Elbassuoni, Shady
dc.contributor.department	Department of Computer Science
dc.contributor.institution	American University of Beirut
dc.date	2026
dc.date.accessioned	2026-09-25T04:23:45Z
dc.date.issued	2026-09-23
dc.description	The dataset is split into 7 parts; download all of them and see README.txt for extraction instructions.
dc.description	For access to the full content of the files, please contact the author at se58@aub.edu.lb.
dc.description.abstract	This dataset is used for the study "AI-based calorie and macronutrient estimation for Lebanese dishes using single-view images". It contains image data used for food classification and for the evaluation of the proposed system under real-world conditions. The dataset includes: (1) a food-classification dataset containing web-collected food images and synthetic food images generated using a GAN, Gemini, and Sora. The synthetic data are organized according to the study’s 174 food classes; (2) a final real-world test set containing 225 food images obtained from wearable-camera recordings collected from children in free-living settings in Lebanon as part of the SCALE study; and (3) an Excel file containing the corresponding food-class labels and ground-truth portion weights for the 225 wearable-camera images.
dc.identifier.uri	https://hdl.handle.net/10938/35549
dc.language.iso	en
dc.subject.lcsh	Food
dc.subject.lcsh	Food--Lebanon
dc.subject.lcsh	Food--Classification
dc.subject.lcsh	Nutrition
dc.subject.lcsh	Image processing
dc.subject.lcsh	Machine learning
dc.title	AI-based calorie and macronutrient estimation for Lebanese dishes using single-view images
dc.type	Dataset