SchoolMeal Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Nutritional Analysis and Meal Planning: Use the SchoolMeal model to analyze the types of food served in school cafeterias, enabling educators and nutritionists to better understand the nutritional value and balance of the meals being offered to students, and adjust meal plans accordingly.
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Food Waste Reduction: Implement the model to monitor and identify food items that are frequently left uneaten by students, providing insights into ways to optimize the meal menu, reduce food waste, and save on operational costs in school cafeterias.
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Allergen and Dietary Restriction Management: Use the model to identify specific food items and ingredients in school meals, assisting individuals with food allergies or dietary restrictions in navigating their meal choices safely.
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Experimental Cooking and Recipe Development: Utilize the model to recognize and analyze food elements in school meals and inspire new recipes or creative ways to use specific ingredients, ultimately leading to a more diverse and interesting menu for students.
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Cultural Exchange and Learning: Leverage the SchoolMeal model to explore the different types of food served in educational institutions around the world, promoting cultural understanding and learning among students and educators about various cuisines and culinary traditions.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
schoolmeal_dataset,
title = { SchoolMeal Dataset },
type = { Open Source Dataset },
author = { team },
howpublished = { \url{ https://universe.roboflow.com/team-6dgea/schoolmeal } },
url = { https://universe.roboflow.com/team-6dgea/schoolmeal },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { aug },
note = { visited on 2024-12-18 },
}