drug type Computer Vision Project

21104

Updated a year ago

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Classes (3)
benq
not
tylenol

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Description

Here are a few use cases for this project:

  1. Pharmaceutical Search Assistance: The model can be used as a search assistance tool within online pharmacy stores or pharmaceutical databases, allowing customers to upload an image of the medication they are looking for and the system would identify if it's Tylenol, Benq or neither.

  2. Medication Identification: The model can be utilized in medical facilities to help health workers identify medication via a mobile application or a desktop software where one only needs to scan the boxes of medication.

  3. Telemedicine and E-Health: The model can be implemented in telemedicine software to enable patients to scan their medication during a consultation, helping the doctor to quickly identify what types of drugs they are currently taking.

  4. Drug Recognition Training: It can be used in a training program for pharmacists, nurses or EMTs, improving their ability to recognize different types of common medications.

  5. Smart Home Health Assistant: The model can be integrated into smart home assistants or devices such as Google Home, Alexa to assist elderly or visually impaired individuals in ensuring they are taking the correct medication at home.

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Cite This Project

LICENSE
MIT

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

                        @misc{
                            drug-type_dataset,
                            title = { drug type Dataset },
                            type = { Open Source Dataset },
                            author = { 21104 },
                            howpublished = { \url{ https://universe.roboflow.com/21104-7efcf/drug-type } },
                            url = { https://universe.roboflow.com/21104-7efcf/drug-type },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-09-25 },
                            }
                        
                    

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