Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Food Detection and Recognition Using Deep Learning - A Review Subject The topic of the resource Convolutional neural network; Food recognition; Image classification; inception v3 model; ResNet; Transfer learning; Vision transformers Description An account of the resource Studies show poor lifestyle choices and unhealthy eating patterns cause issues like obesity and other ongoing illnesses that raise the risk of heart attacks, such as hypertension, abnormal blood sugar levels, and diabetes. To improve this situation a lot of health apps have been built which use modern dietary monitoring systems that automatically evaluate dietary intake using machine learning and deep learning techniques rather. For these reasons indepth investigations on food detection, classification, and analysis have been conducted. Some of the top methods for automatic food recognition created have been discussed in this paper. We also propose an idea for detection of Indian food items using image classification. According to our findings of the papers we reviewed, convolutional neural networks (CNN) have been extensively been used in food detection as it has been giving better results compared to other models. We also observed that Vision transformers perform better in situations where the dataset is large and a hybrid model would give better accuracy. A review of potential applications for food image analysis, shortfalls in the area, and open issues concludes the paper. 2022 IEEE. Creator An entity primarily responsible for making the resource Banerjee A.; Bansal P.; Thomas K.T. Source A related resource from which the described resource is derived Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 1221-1225. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAC3N56670.2022.10074297" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N56670.2022.10074297</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152198036&amp;doi=10.1109%2FICAC3N56670.2022.10074297&amp;partnerID=40&amp;md5=93f2659dfe3dd04059612f8bd20e468a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152198036&amp;doi=10.1109%2fICAC3N56670.2022.10074297&amp;partnerID=40&amp;md5=93f2659dfe3dd04059612f8bd20e468a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547436-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Banerjee A., Christ University, Department. of Data Science, Lavasa, Pune, India; Bansal P., Christ University, Department. of Data Science, Lavasa, Pune, India; Thomas K.T., Christ University, Department. of Data Science, Lavasa, Pune, India