gura Computer Vision Project
Updated a year ago
Here are a few use cases for this project:
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Quality control in Grocery stores: The "gura" model can be used as an automated solution to identify and sort fruits based on their quality. It enables retail staff to ensure only good quality limes and guavas are displayed for sale, improving customer satisfaction.
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Agricultural applications: Farmers can use this model to classify their harvest into good and bad categories, helping to streamline their operations, reduce waste and increase their productivity.
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Food Processing Industries: Industries dealing with the processing of fruits like juice manufacturers or jam making factories can use it to separate the good fruits from the bad ones, ensuring only the best quality produce is used in their products.
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Smart Home Applications: Integrating the model with a smart fridge technology could allow the fridge to scan its contents and alert homeowners when their limes or guavas are in bad condition.
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Educational Purposes: The model can be used as a teaching tool for biology or agricultural students to help them learn and understand the differences between good and bad fruit.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
gura_dataset,
title = { gura Dataset },
type = { Open Source Dataset },
author = { FruitClassification },
howpublished = { \url{ https://universe.roboflow.com/fruitclassification-dqola/gura } },
url = { https://universe.roboflow.com/fruitclassification-dqola/gura },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-11-15 },
}