shakal-meat-thai-blue Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Food Quality Control: Restaurants or food manufacturing companies can adopt this model to improve their quality control process. They can ensure their raw materials or final products are correctly identified and match the desired criteria (meat-thai-blue, chicken-thai-red, etc.).
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Smart Shopping App: Developers could create a mobile application that uses this computer vision model, allowing users to identify the type of meat product in a shopping cart in real-time, helping them to keep track of their shopping list, and potentially discover new recipes related to the product.
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Dietary Management Tools: This model can be integrated into dietary management applications to automatically identify the type of food and generate nutritional information, helping users monitor their food intake and maintain a healthy diet.
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Cooking/Recipe Apps: This model could be used in cooking apps to suggest recipes depending on the type of meat the user has. For example, if the model identifies chicken-thai-red in the image, it can recommend Thai red chicken recipes to the user.
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Supply Chain Management: The model could help in automation and improving efficiencies in warehouses or supermarkets. It could quickly identify items, helping in sorting, inventory management, and avoiding misplacement of items.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
shakal-meat-thai-blue_dataset,
title = { shakal-meat-thai-blue Dataset },
type = { Open Source Dataset },
author = { tagam low res 1of2 },
howpublished = { \url{ https://universe.roboflow.com/tagam-low-res-1of2-ujfxe/shakal-meat-thai-blue } },
url = { https://universe.roboflow.com/tagam-low-res-1of2-ujfxe/shakal-meat-thai-blue },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-12-03 },
}