Update README.md

README.md

@@ -1,3 +1,78 @@
----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+---
+
+# Dataset Card for HyperKvasir
+
+## Dataset Summary
+
+HyperKvasir is the largest publicly available gastrointestinal (GI) endoscopy dataset, comprising 110,079 images and 374 videos collected during real gastro- and colonoscopy examinations at Bærum Hospital in Norway. The dataset includes anatomical landmarks, pathological findings, and normal findings, making it suitable for various computer vision tasks in medical imaging.
+
+## Supported Tasks and Leaderboards
+
+- ^[Image Classification]({"attribution":{"attributableIndex":"675-1"}})
+- ^[Object Detection]({"attribution":{"attributableIndex":"675-2"}})
+- ^[Semantic Segmentation]({"attribution":{"attributableIndex":"675-3"}})
+- ^[Anomaly Detection]({"attribution":{"attributableIndex":"675-4"}})
+- ^[Video Summarization]({"attribution":{"attributableIndex":"675-5"}}) [oai_citation:1‡datasets.simula.no](https://datasets.simula.no/hyper-kvasir/?utm_source=chatgpt.com) [oai_citation:2‡Papers with Code](https://paperswithcode.com/dataset/hyper-kvasir-dataset?utm_source=chatgpt.com) [oai_citation:3‡Dataset Ninja](https://datasetninja.com/hyper-kvasir?utm_source=chatgpt.com)
+
+## Languages
+
+- ^[English (metadata and annotations)]({"attribution":{"attributableIndex":"832-1"}}) [oai_citation:4‡datasets.simula.no](https://datasets.simula.no/hyper-kvasir/?utm_source=chatgpt.com)
+
+## Dataset Structure
+
+### Data Splits
+
+^[The dataset is divided into the following subsets:]({"attribution":{"attributableIndex":"887-2"}})
+
+- **Labeled Images**: ^[10,662 images across 23 classes (e.g., polyps, esophagitis, ulcers).]({"attribution":{"attributableIndex":"981-1"}})
+- **Unlabeled Images**: ^[99,417 images without annotations.]({"attribution":{"attributableIndex":"981-3"}})
+- **Segmented Images**: ^[1,000 polyp images with corresponding segmentation masks and bounding boxes.]({"attribution":{"attributableIndex":"981-5"}})
+- **Annotated Videos**: ^[373 videos totaling approximately 11.62 hours and 1,059,519 frames, with 171 annotated findings.]({"attribution":{"attributableIndex":"981-7"}}) [oai_citation:5‡datasets.simula.no](https://datasets.simula.no/hyper-kvasir/?utm_source=chatgpt.com)
+
+### Data Format
+
+- **Images**: ^[JPEG format.]({"attribution":{"attributableIndex":"1363-2"}})
+- **Videos**: ^[AVI format.]({"attribution":{"attributableIndex":"1363-4"}})
+- **Segmentations**: ^[JPEG masks and JSON files for bounding boxes.]({"attribution":{"attributableIndex":"1363-6"}})
+- **Annotations**: ^[Provided in accompanying metadata files.]({"attribution":{"attributableIndex":"1363-8"}}) [oai_citation:6‡Academia](https://www.academia.edu/66510029/Hyper_Kvasir_A_Comprehensive_Multi_Class_Image_and_Video_Dataset_for_Gastrointestinal_Endoscopy?utm_source=chatgpt.com) [oai_citation:7‡datasets.simula.no](https://datasets.simula.no/kvasir-vqa/?utm_source=chatgpt.com) [oai_citation:8‡datasets.simula.no](https://datasets.simula.no/downloads/hyper-kvasir/?utm_source=chatgpt.com)
+
+## Dataset Creation
+
+### Curation Rationale
+
+^[The dataset was created to facilitate research in computer-aided diagnosis and detection in GI endoscopy by providing a large, diverse, and annotated dataset.]({"attribution":{"attributableIndex":"1570-2"}}) [oai_citation:9‡Academia](https://www.academia.edu/66510029/Hyper_Kvasir_A_Comprehensive_Multi_Class_Image_and_Video_Dataset_for_Gastrointestinal_Endoscopy?utm_source=chatgpt.com)
+
+### Source Data
+
+- **Collection**: ^[Data were collected during routine examinations using standard endoscopic equipment.]({"attribution":{"attributableIndex":"1778-2"}})
+- **Annotations**: ^[Performed by experienced gastroenterologists.]({"attribution":{"attributableIndex":"1778-4"}}) [oai_citation:10‡PMC](https://pmc.ncbi.nlm.nih.gov/articles/PMC9954881/?utm_source=chatgpt.com)
+
+### Annotations
+
+- **Labeled Images**: ^[Categorized into 23 classes based on findings.]({"attribution":{"attributableIndex":"1969-2"}})
+- **Segmented Images**: ^[Polyp regions manually segmented.]({"attribution":{"attributableIndex":"1969-4"}})
+- **Videos**: ^[Annotated for specific findings and landmarks.]({"attribution":{"attributableIndex":"1969-6"}}) [oai_citation:11‡datasets.simula.no](https://datasets.simula.no/hyper-kvasir/?utm_source=chatgpt.com)
+
+## Licensing Information
+
+^[The dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.]({"attribution":{"attributableIndex":"2182-1"}})
+
+## Citation Information
+
+^[If you use this dataset, please cite:]({"attribution":{"attributableIndex":"2314-1"}})
+
+^[Borgli, H., Thambawita, V., Smedsrud, P.H., Hicks, S., Jha, D., Eskeland, S.L., Randel, K.R., Pogorelov, K., Lux, M., Nguyen, D.T.D., Johansen, D., Griwodz, C., Stensland, H.K., Garcia-Ceja, E., Schmidt, P.T., Hammer, H.L., Riegler, M.A., Halvorsen, P., & de Lange, T. (2020). HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy. *Scientific Data*, 7(1), 283. https://doi.org/10.1038/s41597-020-00622-y]({"attribution":{"attributableIndex":"2381-0"}}) [oai_citation:12‡simula.no](https://www.simula.no/research/hyperkvasir-comprehensive-multi-class-image-and-video-dataset-gastrointestinal-endoscopy?utm_source=chatgpt.com)
+
+## Contributions
+
+- **Data Collection**: ^[Bærum Hospital, Norway.]({"attribution":{"attributableIndex":"2832-2"}})
+- **Annotation**: ^[Experienced gastroenterologists.]({"attribution":{"attributableIndex":"2832-4"}})
+- **Dataset Preparation**: ^[Simula Research Laboratory.]({"attribution":{"attributableIndex":"2832-6"}}) [oai_citation:13‡ResearchGate](https://www.researchgate.net/publication/338090796_Hyper-Kvasir_A_Comprehensive_Multi-Class_Image_and_Video_Dataset_for_Gastrointestinal_Endoscopy?utm_source=chatgpt.com)
+
+## Dataset Links
+
+- **Homepage**: ^[https://datasets.simula.no/hyper-kvasir/]({"attribution":{"attributableIndex":"3011-2"}})
+- **Download**: ^[https://datasets.simula.no/downloads/hyper-kvasir/]({"attribution":{"attributableIndex":"3011-4"}})
+- **GitHub Repository**: ^[https://github.com/simula/hyper-kvasir]({"attribution":{"attributableIndex":"3011-6"}}) [oai_citation:14‡datasets.simula.no](https://datasets.simula.no/downloads/keep/?utm_source=chatgpt.com) [oai_citation:15‡OSF](https://osf.io/mh9sj/?utm_source=chatgpt.com)