Instance Segmentation

segseg Computer Vision Project


1697 images
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Here are a few use cases for this project:

  1. Wound Management and Care: Healthcare professionals could use "segseg" to identify and classify the type of wound present, thus assisting in determining the appropriate treatment or intervention.

  2. Telemedicine Applications: In remote healthcare scenarios, "segseg" can help in diagnosing wound conditions remotely. Patients can upload images of their wounds, and the model can identify and classify the wound type.

  3. Healthcare Education and Training: The model can be used in the education sector for training medical students, nurses, or other healthcare professionals by helping them to familiarize themselves with various types of wounds and their appearances.

  4. Skin Health Apps: Integration of "segseg" in skin health apps would allow users to conduct regular skin checks at home, helping them identify potentially problematic wounds in earlier stages.

  5. Clinical Research: In research, "segseg" can contribute to large scale screenings of wound images, identify patterns, and correlations with various diseases or conditions, potentially even contributing to the discovery of new insights into wound healing processes.

Cite this Project

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

@misc{ segseg-qv5sk_dataset,
    title = { segseg Dataset },
    type = { Open Source Dataset },
    author = { ship },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { oct },
    note = { visited on 2023-11-29 },

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



Last Updated

2 months ago

Project Type

Instance Segmentation




granulating, necrotic, slough, wound

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