Kvasir Digestive Disease Auxiliary Detection Dataset
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The Kvasir dataset is part of the Medical Multimedia Challenge proposed by MediaEval and is mainly used for research on computer-aided digestive disease detection. The dataset contains 8,000 endoscopic images, divided into 8 categories, each containing 1,000 image examples. These images are mainly obtained from the gastrointestinal tract based on endoscopic procedures and are annotated and verified by professional doctors.
The 8 categories are based on the polypectomy procedure and are:
- 3 landmarks: z-line, pylorus, cecum
- 3 pathological findings: esophagitis, polyps, ulcerative colitis
- 2 other categories: dyed and lifted polyps, dyed resection margins
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