---
title: Kvasir-SEG
canonical_url: "https://www.modelscope.cn/datasets/OmniData/Kvasir-SEG"
md_url: "https://www.modelscope.cn/datasets/OmniData/Kvasir-SEG.md"
repository: OmniData/Kvasir-SEG
last_updated: 2024-07-02
license: "[Kvasir-SEG Custom]"
storage_size: "61 MB"
domain:
  - publishDate
  - paperUrl
  - publishUrl
  - mediaTypes
  - displayName
  - taskTypes
  - labelTypes
  - publisher
tasks:
  - 2019
  - "https://arxiv.org/pdf/1911.07069v1.pdf"
  - "https://datasets.simula.no/kvasir-seg/"
  - Image
  - Kvasir-SEG
  - "Object Detection"
  - SemanticSegMap
  - SimulaMet
downloads: 1674
stars: 0
---

# Kvasir-SEG

> Kvasir-SEG - OmniData 在 ModelScope 开源的数据集。displayName: Kvasir-SEG labelTypes: SemanticSegMap license: Kvasir-SEG Custom mediaTypes: Image paperUrl: https://arxiv.org/pdf/1911.07069v1.pdf publishDate: "2019" publishUrl: https://datasets.simula.no/kvasir-seg/…

OmniData/Kvasir-SEG 是 ModelScope 魔搭社区上的2019、https://arxiv.org/pdf/1911.07069v1.pdf、https://datasets.simula.no/kvasir-seg/数据集，涉及 publishDate、paperUrl、publishUrl 领域，存储大小 61 MB，采用 [Kvasir-SEG Custom] 许可。

- **Repository**: OmniData/Kvasir-SEG
- **License**: [Kvasir-SEG Custom]
- **Tasks**: 2019, https://arxiv.org/pdf/1911.07069v1.pdf, https://datasets.simula.no/kvasir-seg/, Image, Kvasir-SEG, Object Detection, SemanticSegMap, SimulaMet
- **Domain**: publishDate, paperUrl, publishUrl, mediaTypes, displayName, taskTypes, labelTypes, publisher
- **Storage size**: 61 MB
- **Downloads**: 1674
- **Stars**: 0
- **Last updated**: 2024-07-02

Source: https://www.modelscope.cn/datasets/OmniData/Kvasir-SEG

---

displayName: Kvasir-SEG
labelTypes:
- SemanticSegMap
license:
- Kvasir-SEG Custom
mediaTypes:
- Image
paperUrl: https://arxiv.org/pdf/1911.07069v1.pdf
publishDate: "2019"
publishUrl: https://datasets.simula.no/kvasir-seg/
publisher:
- UiT The Arctic University of Norway
- Augere Medical AS, Norway
- University of Oslo
- Oslo University Hospital
- Oslo Metropolitan University
- Kristiania University College
- SimulaMet
tags:
- Polyps
- Stomach
- Intestines
taskTypes:
- Semantic Segmentation
- Medical-Image-Segmentation
- Real-Time-Semantic-Segmentation
- Real-Time-Object-Detection
- Colorectal-Polyps-Characterization
- Object Detection

---
# 数据集介绍
  ## 简介
   Kvasir-SEG 数据集（大小 46.2 MB）包含来自 Kvasir Dataset v2 的 1000 个息肉图像及其对应的地面实况。 Kvasir-SEG 中包含的图像的分辨率从 332x487 到 1920x1072 像素不等。图像及其对应的掩码存储在两个具有相同文件名的单独文件夹中。图像文件采用JPEG压缩编码，便于在线浏览。开放获取数据集可以很容易地下载用于研究和教育目的。 
  ## 引文
  
```
"@inproceedings{jha2020kvasir,
title={Kvasir-seg: A segmented polyp dataset},
author={Jha, Debesh and Smedsrud, Pia H and Riegler, Michael A and Halvorsen, P{\aa}l and Lange, Thomas de and Johansen, Dag and Johansen, H{\aa}vard D},
booktitle={International Conference on Multimedia Modeling},
pages={451--462},
year={2020},
organization={Springer}
}"
```

  
## Download dataset
:modelscope-code[]{type="git"}