Fruits Computer Vision Project
Here are a few use cases for this project:
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Smart Grocery Shopping App: The model could be integrated into a mobile app to help users identify fruits in a grocery store, assisting them in finding the right type of fruit without depending on labels or signs.
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Dietary Applications: The model could be used in health and diet apps to accurately recognize fruit consumption, making it easier for users to track their diet and nutrient intake.
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Education and Learning Tools: The model could be used in an educational app or game for children to learn about different types of fruits, improving their knowledge and understanding through interactive visual learning.
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Agricultural Quality Control: The model could be applied in a system to sort and categorize fruits based on type in agricultural settings, helping to streamline packing processes.
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Assistive Technology for Visually Impaired: The model could be integrated into applications aimed at the visually impaired, helping users to identify fruits by themselves, promoting a greater degree of independence and practicality in daily life.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
fruits-uhv2q_dataset,
title = { Fruits Dataset },
type = { Open Source Dataset },
author = { ECE4078Group308 },
howpublished = { \url{ https://universe.roboflow.com/ece4078group308/fruits-uhv2q } },
url = { https://universe.roboflow.com/ece4078group308/fruits-uhv2q },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { oct },
note = { visited on 2024-04-28 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Fruits project in your project.