15072022_Cho_N Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Smart Retail Inventory Management: "15072022_Cho_N" could be used to automatically track stock levels and product arrangements for the specified Nestle products at grocery stores or supermarkets, allowing for efficient inventory management and restocking alerts.
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Personalized Shopping Assistance: The model can be integrated into a shopping app to help users identify and locate specific Nestle products on store shelves, making their shopping experience more convenient and efficient.
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Automated Checkout Systems: The model can be used to create automated checkout systems in retail stores that quickly and accurately identify the Nestle items being purchased by customers, reducing checkout time and minimizing human errors.
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Waste Management and Expiration Tracking: The computer vision model can identify specific Nestle products in a storage facility, allowing for efficient management of waste and tracking of expiration dates to maintain product quality and safety.
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Nutritional Information Extraction: By identifying and recognizing specific Nestle product packaging, "15072022_Cho_N" can be used in health or diet apps to provide users with accurate nutritional information on these products, helping them make informed dietary choices.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
15072022_cho_n_dataset,
title = { 15072022_Cho_N Dataset },
type = { Open Source Dataset },
author = { Fieldlytics },
howpublished = { \url{ https://universe.roboflow.com/fieldlytics-sn6h2/15072022_cho_n } },
url = { https://universe.roboflow.com/fieldlytics-sn6h2/15072022_cho_n },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { sep },
note = { visited on 2024-11-21 },
}