Fruits and vegetables Computer Vision Project
Updated a year ago
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Here are a few use cases for this project:
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Automated Harvesting Systems: The computer vision model can be integrated into harvesting machinery to help in the detection and sorting of ripe fruits and vegetables in real-time, improving the efficiency and accuracy of harvests.
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Quality Control in Supermarkets: This model could be employed in the retail sector to enforce quality control in supermarkets. It could automatically scan and identify rotten or overripe fruits and vegetables so they can be removed from the shelves.
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Assisting Dietary Applications: The model could be used as a feature in a health and diet app. Users can scan their meals and the app will identify the fruits and vegetables present, assisting with tracking nutritional intake and suggesting healthier options based on what it identifies.
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Educational Tool: It can be used as an educational tool for children or individuals learning about different types of fruits and vegetables. Users can interactively learn by scanning specific items and receiving information about them.
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Research & Crop Disease Detection: The model can help detect early signs of disease in particular fruits or vegetables by scanning and classifying images of the crops. This could aid in preserving crop yields and maintaining the health of farms.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
fruits-and-vegetables-rszxd_dataset,
title = { Fruits and vegetables Dataset },
type = { Open Source Dataset },
author = { Test },
howpublished = { \url{ https://universe.roboflow.com/test-kuf7g/fruits-and-vegetables-rszxd } },
url = { https://universe.roboflow.com/test-kuf7g/fruits-and-vegetables-rszxd },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-12-14 },
}