Food Recognition Computer Vision Project
Updated a year ago
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downloadsHere are a few use cases for this project:
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Kitchen Assistance Application: A smart kitchen application could use this model to help users identify the dishes they've prepared and provide corresponding recipes, nutritional information, or pairing suggestions.
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Health and Fitness App: The model could be integrated into a fitness app for tracking calorie and nutrient intake. Users can just take a photo of the food, and the app identifies it and logs the nutritional data.
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Restaurant Management Software: Restaurants could use this model in order management systems for automating quality assurance checks, verifying the correct dish was prepared or in setting up a system for automatic food ordering when identifying depleted foods.
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Grocery Shopping App: An app could use this model to guide users in supermarkets, suggesting ingredients needed when identifying an ingredient or a dish.
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Educational Tools: The "Food Recognition" model could be used for educational purposes, helping students learning about different cuisines or children learning about various food names and their nutritional values.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
food-recognition-qb50c_dataset,
title = { Food Recognition Dataset },
type = { Open Source Dataset },
author = { Palak },
howpublished = { \url{ https://universe.roboflow.com/palak-xigrp/food-recognition-qb50c } },
url = { https://universe.roboflow.com/palak-xigrp/food-recognition-qb50c },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-11-17 },
}