detection of fruit Computer Vision Project
Updated 2 years ago
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downloadsHere are a few use cases for this project:
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Smart Grocery Shopping: The model can be integrated into a smart shopping system that enables customers to automatically scan and identify the quality of apples and peaches they are buying. This provides a helpful tool in promoting qualitative shopping and reducing food waste.
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Agri-Tech Quality Control: Farmers and agricultural technologists can utilize this model for determining the quality of their produce in real-time, enabling them to separate fresh fruits from the rotten ones effectively, thereby improving overall productivity.
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Educational Tool in Schools: The model can be used as a comprehensive learning resource in schools to educate students about different types of fruits, their sizes, and freshness levels.
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Food Rescue Operations: For NGOs and organizations involved in food rescue operations, this model can quickly identify and segregate edible fruits from the rotten ones in large quantities.
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Food Processing Industry: In industries like juice making, this model can be used to ensure the quality of fruits used. The system can identify and separate the rotten fruits, helping ensure only fresh fruits are processed.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
detection-of-fruit_dataset,
title = { detection of fruit Dataset },
type = { Open Source Dataset },
author = { Nada Daassi },
howpublished = { \url{ https://universe.roboflow.com/nada-daassi-sv6pd/detection-of-fruit } },
url = { https://universe.roboflow.com/nada-daassi-sv6pd/detection-of-fruit },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2024-11-21 },
}