📌 About the Original Dataset This dataset was originally uploaded by Taimoor Khurshid Chughtai and provides detailed information about popular street foods from various countries worldwide. It includes: 🌎 Country/Region of Origin: Where each dish comes from. 🥘 Main Ingredients: Key ingredients...
Find nutrition facts for your favorite brands and fast-food restaurants in our trusted food database. Track what you eat with our free online calorie counter and learn how to lose weight and keep it off.
deep-learningimage-classificationfood-classificationmhealthontologiesehealthfood-datasetfood-trackerdietarymultilabel-modelfood-categories UpdatedJul 6, 2022 Python MuriloRoque/food_tracker_app Star13 In this app, you can control the total amount of food you consumed from a specific group in a certain ...
[7] W. Min, L. Liu, Z. Wang, Z. Luo, X. Wei, and X. Wei, “ISIA Food- 500: A dataset for large-scale food recognition via stacked globallocal attention network,” in ACM MM, 2020, pp. 393–401. [8] J. Mar´ın, A. Biswas, F. Ofli, N. Hynes, A. Salvador, Y....
Wei, “ISIA Food- 500: A dataset for large-scale food recognition via stacked globallocal attention network,” in ACM MM, 2020, pp. 393–401. [8]J. Mar´ın, A. Biswas, F. Ofli, N. Hynes, A. Salvador, Y. Aytar, I. Weber, and A. Torralba, “Recipe1M+: A dataset for...
Further, we introduce a newly collected dataset, Ville Cafe, for food recognition. This dataset contains 16 categories with 35,842 images, including salad, fruit, toast, egg, sausage, chicken cutlet, bacon, French toast, omelet, hash browns, pancake, ham, patty, sandwich, French fries, and ...
Food detection, classification, and analysis have been the topic of in-depth studies for a variety of applications related to eating habits and dietary assessment. For the specific topic of calorie measurement of food portions with single and mixed food
A multi-scale fusion module is proposed to fuse feature maps with different resolutions. Compared with state-of-the-art methods, the mean value of the PMAE for our method reaches 17.3%. The PMAE for calories, mass, carb and protein is 14.0%, 10.3%, 19.5% and 20.2%, respectively, ...
Cross-sectional analyses preclude assessment of temporality; however, findings were consistent in prospective analyses of all-cause mortality. Use of energy-weighting to calculate i.FCS captures overall dietary composition but provides lower weighting to certain foods with lower calories per servings, such...
Table 2 summarises some of the basic characteristics of our dataset. Table 2 Basic characteristics of the data used Full size table Second, this paper presents the results of the semi-structured interviews conducted with local experts from the Western Balkan countries. The interviews were conducted...