Volov7 Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Agriculture and Harvesting Systems: This model can be utilized in automated systems to identify the type and ripeness of date fruits in agricultural methodologies or during harvesting times, improving the efficiency and impacting the selection process by ensuring only ripe dates are harvested.
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Quality Control in Supply Chains: It could be leveraged within food processing industries or supermarkets to automate quality control, categorizing dates according to their type and ripeness, and facilitating more efficient sorting and packaging processes.
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E-Commerce Applications: Online grocery shopping platforms can use this model to ensure the correct product identity before shipping to achieve better customer satisfaction and trust. Customers can also search and identify specific date types based on an image.
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Food and Nutritional Studies: Researchers can use this model to recognize specific types of dates, assisting in studies of nutritional differences, food economics, and so on.
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Consumer Mobile Apps: Develop a mobile application that can help consumers identify the type and ripeness of the dates they buy, promoting healthier choices and enhancing fruit knowledge among consumers.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
volov7_dataset,
title = { Volov7 Dataset },
type = { Open Source Dataset },
author = { FYP },
howpublished = { \url{ https://universe.roboflow.com/fyp-fll57/volov7 } },
url = { https://universe.roboflow.com/fyp-fll57/volov7 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-11-28 },
}