Mangoes Data Sets Computer Vision Project

JM Arutneva

Updated a year ago

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Description

Here are a few use cases for this project:

  1. Agriculture Quality Control: Farmers and agricultural enterprises could use the "Mangoes Data Sets" model to automatically classify and sort mangoes based on variety. This automation may result in improved efficiency, consistency, and profit margins.

  2. Consumer Apps: Retail grocery or specialized fruit selling apps may integrate this model to assist customers in identifying and learning about different mango varieties directly in the app, enhancing their shopping experience.

  3. Supply Chain Management: The model could be employed in warehouses to identify and track mango classes, which may optimize inventory management and facilitate better supply chain decisions.

  4. Educational Tool: The model could be utilized in a learning application or website that aids in teaching about different types of mangoes. Users may upload images of mangoes and the model will identify the class of the mango.

  5. Food Processing Industry: Food processing companies that use mangoes could use the model to ensure they are using the correct mango classes in their production lines, thus maintaining quality and consistency in their outputs.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            mangoes-data-sets_dataset,
                            title = { Mangoes Data Sets Dataset },
                            type = { Open Source Dataset },
                            author = { JM Arutneva },
                            howpublished = { \url{ https://universe.roboflow.com/jm-arutneva-eke93/mangoes-data-sets } },
                            url = { https://universe.roboflow.com/jm-arutneva-eke93/mangoes-data-sets },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-09-24 },
                            }
                        
                    

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