whiskey-real-new Computer Vision Project
Updated 3 years ago
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Here are a few use cases for this project:
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Retails Inventory Management: Retail stores can leverage this model to automate inventory checks, identify when specific whiskey brands are running low and plan reorders accurately.
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Whiskey Appraisal and Authentication: The model could be used by professional whiskey appraisers or collectors to verify the authenticity of antique or rare whiskeys, avoiding potential frauds.
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Whiskey Sorting in Production Line: Distilleries and whiskey bottling companies can utilise the model to sort and classify different whiskey brands in their production line, improving efficiency and reducing manual labor.
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Online Whiskey Marketplace: E-commerce platforms selling whiskey can use this model to automatically tag and catalogue product photos, making it easier for customers to find and compare products.
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Educational Purpose for Whiskey Enthusiasts: Application developers can harness this model to create educational apps or tools for whiskey enthusiasts, helping them to learn to identify different whiskey classes by sight.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
whiskey-real-new_dataset,
title = { whiskey-real-new Dataset },
type = { Open Source Dataset },
author = { Sukmin Kim },
howpublished = { \url{ https://universe.roboflow.com/sukmin-kim/whiskey-real-new } },
url = { https://universe.roboflow.com/sukmin-kim/whiskey-real-new },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { apr },
note = { visited on 2024-12-03 },
}