May 15, 2023, 12:47 a.m. | Mansi Goel, Shashank Dargar, Shounak Ghatak, Nidhi Verma, Pratik Chauhan, Anushka Gupta, Nikhila Vishnumolakala, Hareesh Amuru, Ekta Gambhir, Ronak Ch

cs.CV updates on arXiv.org arxiv.org

Diet is central to the epidemic of lifestyle disorders. Accurate and
effortless diet logging is one of the significant bottlenecks for effective
diet management and calorie restriction. Dish detection from food platters is a
challenging problem due to a visually complex food layout. We present an
end-to-end computational framework for diet management, from data compilation,
annotation, and state-of-the-art model identification to its mobile app
implementation. As a case study, we implement the framework in the context of
Indian food platters …

arxiv automated detection diet epidemic food framework lifestyle logging management nutrition

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior Data Science Analyst- ML/DL/LLM

@ Mayo Clinic | Jacksonville, FL, United States

Machine Learning Research Scientist, Robustness and Uncertainty

@ Nuro, Inc. | Mountain View, California (HQ)