Food Detection and Recognition Using Deep Learning - A Review
- Title
- Food Detection and Recognition Using Deep Learning - A Review
- Creator
- Banerjee A.; Bansal P.; Thomas K.T.
- Description
- 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.
- Source
- Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 1221-1225.
- Date
- 2022-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Convolutional neural network; Food recognition; Image classification; inception v3 model; ResNet; Transfer learning; Vision transformers
- Coverage
- 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
- Rights
- Restricted Access
- Relation
- ISBN: 978-166547436-8
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Banerjee A.; Bansal P.; Thomas K.T., “Food Detection and Recognition Using Deep Learning - A Review,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/20134.