Quraa Detection Computer Vision Project

FRC public

Updated 2 years ago

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Classes (2)
Infected-with-Quraa
Not- Infected
Description

Here are a few use cases for this project:

  1. Medical Diagnostics: This model can be utilized by medical professionals for swift assessment of Quraa infection in patients, reducing diagnostic time and facilitating faster treatment.

  2. Public Health Surveillance: Local governments or public health officials can use this model to monitor Quraa infection rates in communities or specific populations, potentially identifying hot-spots or outbreaks early.

  3. Pharmaceutical Research: Within drug development and clinical trials, this model can be employed to measure the efficacy of new treatments by identifying the decrease or absence of Quraa infection over time.

  4. Education Tools: This model can be incorporated into teaching materials for educational purposes in fields such as medical schools, helping students understand and identify signs of Quraa infection in a controlled, practical setting.

  5. Automated Medical Devices: The model can be incorporated into home-use medical devices which could help individuals monitor their own health and determine whether medical follow-up is needed for possible Quraa infection.

Supervision

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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{
                            quraa-detection-ruqkw_dataset,
                            title = { Quraa Detection Dataset },
                            type = { Open Source Dataset },
                            author = { FRC public },
                            howpublished = { \url{ https://universe.roboflow.com/frc-public-nfbqg/quraa-detection-ruqkw } },
                            url = { https://universe.roboflow.com/frc-public-nfbqg/quraa-detection-ruqkw },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2025-01-18 },
                            }
                        
                    

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