Listerine Computer Vision Project
Updated a year ago
30
3
Metrics
Here are a few use cases for this project:
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Retail Inventory Management: The model can be used in retail stores to automate inventory checks of mouthwash products. Since the model recognizes specific brands and variants, it can simplify tracking the stock, help maintain it, and ensure that the desired variety of products is always available.
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Automated Retail Checkout: The model can be integrated into self-checkout systems to automatically identify the type and brand of mouthwash a customer is buying. This could speed up the checkout process and eliminate bar code scanning.
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Recycling Sortation: The model could help waste management systems to distinguish mouthwash bottles for proper recycling. Differentiating the bottles accurately can increase recycling efficiency and sustainability.
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Augmented Reality Shopping Assistance: In an AR shopping app, the model can enable customers to recognize and learn more about the different variants of mouthwash, by simply pointing the camera at the bottle. This information can be used to provide detailed product reviews, price comparisons, or health effects.
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Online Retail Cataloging: For eCommerce businesses, the model can automate cataloging process. Upon uploading a product image, the model could identify the product type and automatically add all the relevant information (Brand, Flavor, Alcohol Content), improving efficiency and accuracy of online inventories.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
listerine_dataset,
title = { Listerine Dataset },
type = { Open Source Dataset },
author = { thai },
howpublished = { \url{ https://universe.roboflow.com/thai-vogia/listerine } },
url = { https://universe.roboflow.com/thai-vogia/listerine },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-12-26 },
}