KvasirCapsule-SEG is an open-access dataset curated specifically for capsule endoscopy polyp segmentation. Derived from the Kvasir-Capsule dataset, it features 55 medically verified video capsule polyp frames. Each frame has been meticulously annotated, generating corresponding ground truth masks, making it an ideal resource for various applications.

🔍 Use-Cases:

• Polyp segmentation
• Semantic Segmentation
• Medical image segmentation
• Semantic Meta-Learning
• Domain Generalization
• Out-of-Distribution Detection Task

A capsule endoscopy procedure enables direct visualization of the small bowel.

It is used for capturing video capsule frames. The examples of capsule endoscopy polyp frames are below:

📂 Download Options:

• Simula's Official Dataset Link
• Dropbox Direct Download

Delve deeper into our work through the following publications:

• NanoNet:
  • IEEE's Official Publication
  • ArXiv Preprint Version

Please cite our paper if you find the work useful:

@proceedings{jha2021nanonet,
  title={NanoNet: Real-Time Polyp Segmentation in Endoscopy},
  author={Jha, Debesh and Tomar, Nikhil Kumar and Ali, Sharib and Riegler, Michael A and Johansen, H{\aa}vard D and Johansen, Dag and Halvorsen, P{\aa}l},
  booktitle={Proceedings of the IEEE Computer Based Multimedia System},
  year={2021},
  publisher={IEEE}
}

It is an open-access dataset available for research and academic purposes. For industrial applications, obtaining prior consent is mandatory.

Please reach out to [email protected] for any further questions.