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@article{159637,
        author = {Shabeentaj GA and Adesh Gowda S and Monisha K and Ramya KS and Kavyashree A R},
        title = {Smart Food Recognition Using Image AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {12},
        pages = {1021-1025},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=159637},
        abstract = {For the purpose of facilitating healthcare applications, many works have been proposed for food image analysis, such as food recognition and ingredient recognition. However, research on combining various factors has been conducted relatively less frequently. In this essay, we argue that a food image is best represented by both the type of food it is and the method of preparation. We suggest neural networks to simultaneously take into account food recognition, ingredient recognition, and cooking method recognition, and we demonstrate that performance can be enhanced by considering many parameters. We compile a dataset of food images with accurate ingredient information and show the efficiency of the suggested recognition models from various angles. Overweight and obesity have long been associated with a diet high in calories and a sedentary lifestyle.},
        keywords = {Smart Food Recognition Using Image AI},
        month = {},
        }