Indian Food Yolov5 Computer Vision Project
Updated 20 days ago
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Here are a few use cases for this project:
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Culinary Education Apps: The model can be integrated into culinary education software or apps to help students and enthusiasts learn the names and appearances of various Indian dishes. When used in combination with augmented reality, users can view the image of a dish and get information about it instantly.
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Healthy Eating and Diet Planning: Nutritionists and dieticians can use this model to categorize and identify Indian food items. Using this information, they can develop personalized meal plans for their clients and provide detailed nutritional breakdowns of traditional Indian meals based on their components.
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Restaurant Automation: The model can be used in an automated ordering system at Indian restaurants. By identifying the dishes being served, the system can correctly account for what's been served to each table and add it to their bill, reducing human error in bill generation.
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Multicultural Cooking Shows or Competitions: In multi-cuisine cooking shows, judges can use this model to verify if participants have correctly prepared a specified Indian dish. This can help ensure fair judging and provide a more informed analysis of the dishes.
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Food Delivery & Recognition Apps: This model can be used in food delivery apps where customers take a photo of a dish and the app recognizes the dish for them. The feature can recommend restaurants where they can order similar dishes or suggest recipes they can try.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
indian-food-yolov5-gnrv9_dataset,
title = { Indian Food Yolov5 Dataset },
type = { Open Source Dataset },
author = { Sahil Sheikh },
howpublished = { \url{ https://universe.roboflow.com/sahil-sheikh-728fj/indian-food-yolov5-gnrv9 } },
url = { https://universe.roboflow.com/sahil-sheikh-728fj/indian-food-yolov5-gnrv9 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2024-11-21 },
}