Test-POC Computer Vision Project
Updated 2 years ago
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downloadHere are a few use cases for this project:
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Smart Grocery Shopping: This model can be integrated into a mobile application that identifies household grocery items that need to be replenished. By scanning the fridge, the app can create a shopping list based on the items identified.
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Dietary Management: The model can be used to track food consumption in homes, helping individuals and families maintain their diet plans. It can identify when certain healthy food items (like fruits, vegetables, cereal) are getting low, prompting a reminder for the users.
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Health and Fitness Apps: It can be incorporated into health apps to track calorie intake. Users can simply take pictures of their meals, and the app can identify the food items and calculate nutritional value.
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Waste Management: The model can be used in a smart bin application to identify food waste items and sort them accordingly for proper recycling or composting.
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eCommerce or Delivery Apps: This model can be integrated into online grocery shopping platforms. Using the app, users can scan items they want, the system identifies the food items, and adds them to the cart for a swift shopping experience.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
test-poc_dataset,
title = { Test-POC Dataset },
type = { Open Source Dataset },
author = { Project CES },
howpublished = { \url{ https://universe.roboflow.com/project-ces/test-poc } },
url = { https://universe.roboflow.com/project-ces/test-poc },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-12-21 },
}