coffee Computer Vision Project

samuelnote

Updated a year ago

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Description

Here are a few use cases for this project:

  1. Coffee Quality Control: This model can be used in the coffee industry for quality control, by analyzing images of coffee beans and determining their roast types, hence ensuring consistency in coffee products.

  2. Augmented Reality Shopping Assistant: It could be used in an AR application aimed at helping customers differentiate between various types of coffee at grocery stores or cafes, enhancing the shopping experience.

  3. Agricultural Technology: The model can be used in ag-tech applications, helping farmers to identify and classify the state of coffee beans during the harvesting process, thereby increasing productivity and quality.

  4. Coffee Machine Integration: The model could be integrated into high-end automatic coffee machines to adjust brewing parameters based on the type of coffee bean detected, thus enhancing the quality of the brewed coffee.

  5. Coffee Education Applications: The model can be used in educational apps or websites about coffee, providing visual recognition and explanations about different types of coffee roasts and beans to users who are interested in learning more about coffee.

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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{
                            coffee-l9ppx_dataset,
                            title = { coffee Dataset },
                            type = { Open Source Dataset },
                            author = { samuelnote },
                            howpublished = { \url{ https://universe.roboflow.com/samuelnote/coffee-l9ppx } },
                            url = { https://universe.roboflow.com/samuelnote/coffee-l9ppx },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2025-02-16 },
                            }
                        
                    

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