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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Smart Nutrition Tracker: Based on images of food items clicked or uploaded by users, the model can estimate the nutritional content and provide diet plans or advice.
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Automated Restaurant Ordering: The model can be used in a visual-based food ordering system where patrons can simply point their camera at food items on the menu to understand what the dish is, its ingredients etc.
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Recipe Recommendation System: The model can identify food classes and suggest relevant recipes to users wishing to recreate certain dishes at home.
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Food Quality Control: In the food and beverage industry, companies can integrate the model into their quality control process to ensure consistency of food products or dishes.
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Supermarket Self-checkout Systems: The computer vision model can be used at supermarket self-checkout lanes. Customers just need to place the food items in front of a camera, and the system will recognize and automatically ring up the items.
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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-ow7id_dataset,
title = { Food Recognition Dataset },
type = { Open Source Dataset },
author = { Credo Health },
howpublished = { \url{ https://universe.roboflow.com/credo-health/food-recognition-ow7id } },
url = { https://universe.roboflow.com/credo-health/food-recognition-ow7id },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jul },
note = { visited on 2024-12-18 },
}