food detection Computer Vision Project
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Here are a few use cases for this project:
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Nutrition Tracking Apps: These apps could utilize the "food detection" model to automatically recognize and track the food items consumed by users, providing an easier way to maintain a food diary for health and wellness goals.
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Smart Kitchen Applications: The model could be integrated into smart refrigerators or pantry management systems to recognize and keep track of food items available, indicating when certain items need to be restocked or used before they go bad.
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Food Delivery Services: The model could be used to verify meals against order details for quality checks and ensuring the correct meal is being sent out for delivery, thus reducing errors.
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Dietary Monitoring in Healthcare Facilities: In hospitals or elderly care homes, it can help monitor patients' meals to ensure they are receiving and consuming the right food according to their dietary requirements.
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Interactive Cooking Assistants: Cooking assistance applications could use the model to instruct users on what ingredients to add at each stage of a recipe by recognizing the food items in real time.
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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-detection-dhith_dataset,
title = { food detection Dataset },
type = { Open Source Dataset },
author = { Angie Tseng },
howpublished = { \url{ https://universe.roboflow.com/angie-tseng-onjl3/food-detection-dhith } },
url = { https://universe.roboflow.com/angie-tseng-onjl3/food-detection-dhith },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-11-24 },
}