FoodShot7_12 Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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"Culinary Education": This computer vision model can be beneficial for culinary students or enthusiasts who are trying to understand and differentiate between various food items. They can use it to familiarize themselves with these specific food classes, enhancing pattern recognition, categorization and cultural culinary understanding.
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"Dietary Management Application": Developers can utilize FoodShot7_12 to design an application that helps users record and keep track of their dietary habits. Users can simply take pictures of their meals, and the application will identify the food classes, providing details about the nutritional content of the food.
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"Smart Grocery Shopping": Retail companies can leverage this model in their shopping apps to help customers find specific ingredients. Customers can take a picture of an ingredient they need, the model identifies it, and the app navigates customers to the right isle or suggest alternatives.
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"Interactive Cookbook": The model can be utilized in an interactive cookbook application where users can click pictures of a dish, and the model will recognize the food and display the cooking instructions and recipe.
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"Restaurant Menu Navigator": This model can be used in a restaurant setting. Customers can take a picture of a dish they're unfamiliar with on the menu, and the software will identify the dish, providing an explanation and potentially customer reviews.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
foodshot7_12_dataset,
title = { FoodShot7_12 Dataset },
type = { Open Source Dataset },
author = { University of Electronic Science and Technology of China },
howpublished = { \url{ https://universe.roboflow.com/university-of-electronic-science-and-technology-of-china/foodshot7_12 } },
url = { https://universe.roboflow.com/university-of-electronic-science-and-technology-of-china/foodshot7_12 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jul },
note = { visited on 2024-11-17 },
}