PositiveGroup Computer Vision Project

terada shoma

Updated 2 years ago

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Classes (5)
B-catarrhalis
Enterococcus
Staphylococcus
StreptcoccusGroupB
str_pne
Description

Here are a few use cases for this project:

  1. Medical Diagnostics: Use PositiveGroup to quickly and accurately identify bacterial infections caused by B-catarrhalis, Staphylococcus, str_pne, Enterococcus, and Streptococcus Group B from clinical samples such as blood, urine, or sputum. This could improve diagnosis speed and patient outcomes.

  2. Antibiotic Resistance Screening: Employ PositiveGroup to determine the presence of the aforementioned bacterial groups in samples from patients who may have antibiotic-resistant strains. This can guide healthcare professionals to select the most effective treatment options.

  3. Environmental Monitoring: Utilize PositiveGroup to monitor the presence and prevalence of B-catarrhalis, Staphylococcus, str_pne, Enterococcus, and Streptococcus Group B in public spaces like hospitals, schools, or transportation hubs. This would help maintain hygiene standards and mitigate the spread of infections.

  4. Pharmaceutical Research: Apply PositiveGroup to assess the efficacy of newly developed antibacterial drugs. By identifying how well these drugs eliminate the targeted bacterial groups in laboratory experiments, researchers can optimize drug development and contribute to combating antibiotic resistance.

  5. Quality Control in Food Industry: Implement PositiveGroup in food processing plants for routine screening of food products for contamination by these bacterial groups. This would help maintain high standards of food safety and prevent potential foodborne illnesses.

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{
                            positivegroup_dataset,
                            title = { PositiveGroup Dataset },
                            type = { Open Source Dataset },
                            author = { terada shoma },
                            howpublished = { \url{ https://universe.roboflow.com/terada-shoma/positivegroup } },
                            url = { https://universe.roboflow.com/terada-shoma/positivegroup },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-12-23 },
                            }
                        
                    

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