roof_mount_3009 Computer Vision Project
Updated 2 years ago
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downloadsHere are a few use cases for this project:
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Automated Sushi Classification in Restaurants: The model can be used in sushi restaurants to automatically identify the type of sushi being made, ensuring consistency and adherence to the recipe.
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Quality Control in Sushi Factories: The model can be deployed in sushi production lines to identify different types of sushi and ensure the right ingredients have been used in the correct proportion.
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Sushi Inventory Management: Retail stores that sell sushi can use this model to keep an accurate, real-time inventory count of different sushi types, alerting the manager when a restock is needed.
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Assistive Technology for Visually Impaired: This model can be used in mobile apps to help visually impaired individuals identify different sushi types while dining or shopping.
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Food Content Analysis in Diet Apps: This model can be used in diet tracking apps to identify the type of sushi in a picture uploaded by a user, providing exact caloric and nutrient information based on the identified class of sushi.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
roof_mount_3009_dataset,
title = { roof_mount_3009 Dataset },
type = { Open Source Dataset },
author = { eat happy },
howpublished = { \url{ https://universe.roboflow.com/eat-happy/roof_mount_3009 } },
url = { https://universe.roboflow.com/eat-happy/roof_mount_3009 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2024-11-25 },
}