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    Kvasir-VQA

    • huggingface.co
    Updated May 23, 2025
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    SimulaMet HOST Department (2025). Kvasir-VQA [Dataset]. https://huggingface.co/datasets/SimulaMet-HOST/Kvasir-VQA
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    SimulaMet HOST Department
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    The Kvasir-VQA dataset is an extended dataset derived from the HyperKvasir and Kvasir-Instrument datasets, augmented with question-and-answer annotations. This dataset is designed to facilitate advanced machine learning tasks in gastrointestinal (GI) diagnostics, including image captioning, Visual Question Answering (VQA) and text-based generation of synthetic medical images Homepage: https://datasets.simula.no/kvasir-vqa

      Usage
    

    You can use the Kvasir-VQA dataset directly from… See the full description on the dataset page: https://huggingface.co/datasets/SimulaMet-HOST/Kvasir-VQA.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
SimulaMet HOST Department (2025). Kvasir-VQA [Dataset]. https://huggingface.co/datasets/SimulaMet-HOST/Kvasir-VQA

Kvasir-VQA

SimulaMet-HOST/Kvasir-VQA

Explore at:
10 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
May 23, 2025
Dataset authored and provided by
SimulaMet HOST Department
License

Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically

Description

The Kvasir-VQA dataset is an extended dataset derived from the HyperKvasir and Kvasir-Instrument datasets, augmented with question-and-answer annotations. This dataset is designed to facilitate advanced machine learning tasks in gastrointestinal (GI) diagnostics, including image captioning, Visual Question Answering (VQA) and text-based generation of synthetic medical images Homepage: https://datasets.simula.no/kvasir-vqa

  Usage

You can use the Kvasir-VQA dataset directly from… See the full description on the dataset page: https://huggingface.co/datasets/SimulaMet-HOST/Kvasir-VQA.

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