sushi-4 Computer Vision Project
Updated a year ago
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Metrics
Here are a few use cases for this project:
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Restaurant Service Assistance: The "sushi-4" model can automate the ordering and inventory system in sushi restaurants. The model can identify plates consumed by customers to update the order list and also assist in managing inventory. It could also be used for menu creation and ordering system applications, matching the customer's request to specific sushi classes.
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Quality Control in Sushi Manufacturing: Factories engaged in the production and packaging of sushi can use the model to check the quality and correctness of the products. For example, making sure that the correct food items are placed on their respective plates and packaging.
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Sushi Delivery Services: Delivery companies or apps can use the model to verify the contents of an order before it leaves the restaurant, ensuring that customers receive exactly what they ordered.
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Nutrition-tracking Apps: The model can be implemented in dietary and health applications where users can identify the type of sushi they eat and track nutritional facts (like calories, proteins, fats) linked with each class of sushi.
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Culinary Education and Training: The model can be used in digital learning applications focused on educating chefs or sushi enthusiasts about the various types of sushi, their preparations, ingredients, and presentation styles.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
sushi-4_dataset,
title = { sushi-4 Dataset },
type = { Open Source Dataset },
author = { sushi },
howpublished = { \url{ https://universe.roboflow.com/sushi/sushi-4 } },
url = { https://universe.roboflow.com/sushi/sushi-4 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { nov },
note = { visited on 2024-12-03 },
}