Object Detection

assembly Computer Vision Project


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Here are a few use cases for this project:

  1. Medical Research: This model can be utilized in the field of medical microbiology and research to classify bacterial strains based on their visual characteristics in lab experiments and for the study of bacterial growth processes.

  2. Healthcare Diagnostics: In healthcare, the "assembly" model could be used to assist in bacterial diagnosis in clinical lab settings, identifying the presence of specific forms of bacteria like Staphylococcus, Streptococcus, B-catarrhalis, Str_pne, and Enterococcus in samples.

  3. Pharmaceutical Industry: The model could be applied in the development stages of antibiotics or bacterial treatments, helping to identify and study the response of specific bacterial strains to new drugs.

  4. Educational Tools: Educators and students could employ the model as a learning tool for illustrating bacterial species classes, supplementing traditional teaching methods in biology or medicine related courses.

  5. Wildlife Conservation: This CV model could be helpful in identifying and studying the presence of these bacterium in different ecosystems, helping conservationists to monitor the impact of bacterial diseases on wild species, and enhancing the knowledge on the role these microorganisms play in various ecosystems.

Cite this Project

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

@misc{ assembly-bd47n_dataset,
    title = { assembly Dataset },
    type = { Open Source Dataset },
    author = { new-workspace-0tbw7 },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { nov },
    note = { visited on 2023-12-10 },

Find utilities and guides to help you start using the assembly project in your project.

Last Updated

a month ago

Project Type

Object Detection




B-catarrhalis, Enterococcus, Staphylococcus, Str_pne, StreptococcusGroupB_assembly

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CC BY 4.0