Saging Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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"Automated Inventory Management in Supermarkets": The "Saging" model could be used to gain real-time data on fruit inventory in supermarkets or grocery stores, helping management to track overstock or shortages for effective supply chain management.
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"Smart Farming Applications": Farmers could use "Saging" to monitor the progress of different fruit crops, potentially aiding in disease detection or optimizing harvest timing based on identified classes.
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"Healthy Diet Monitoring Tool": The model can be implemented in mobile applications to help users track their fruit consumption habits and promote a balanced diet by identifying a variety of fruits in images.
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"Educational Applications": The model can be used to educate children and adults alike on the differences between various bananas and other fruits, supporting them in differentiating between fruit varieties through visual recognition.
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"Recyclable Waste Sorting": The "Saging" model can be used in waste management scenarios for automatic recognition and sorting of fruit waste, helping to optimise recycling and composting processes.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
saging-5z9h7_dataset,
title = { Saging Dataset },
type = { Open Source Dataset },
author = { Mapua University },
howpublished = { \url{ https://universe.roboflow.com/mapua-university-pkvtl/saging-5z9h7 } },
url = { https://universe.roboflow.com/mapua-university-pkvtl/saging-5z9h7 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-12-03 },
}