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Datasets/Kvasir

Kvasir

The Kvasir Dataset

ImagesVideosCustom (research-only, non-commercial)Introduced 2017-01-01

The KVASIR Dataset was released as part of the medical multimedia challenge presented by MediaEval. It is based on images obtained from the GI tract via an endoscopy procedure. The dataset is composed of images that are annotated and verified by medical doctors, and captures 8 different classes. The classes are based on three anatomical landmarks (z-line, pylorus, cecum), three pathological findings (esophagitis, polyps, ulcerative colitis) and two other classes (dyed and lifted polyps, dyed resection margins) related to the polyp removal process. Overall, the dataset contains 8,000 endoscopic images, with 1,000 image examples per class.

Source: Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis Image Source: https://datasets.simula.no/kvasir/

Benchmarks

Image Classification/Accuracy Image Classification/F1

Related Benchmarks

Kvasir-Instrument/10-shot image generation/DSC Kvasir-Instrument/10-shot image generation/Dice (Average)Kvasir-Instrument/10-shot image generation/mIoU Kvasir-Instrument/Medical Image Segmentation/DSC Kvasir-Instrument/Medical Image Segmentation/Dice Score Kvasir-Instrument/Medical Image Segmentation/Intersection over Union Kvasir-Instrument/Semantic Segmentation/DSC Kvasir-Instrument/Semantic Segmentation/Dice (Average)Kvasir-Instrument/Semantic Segmentation/mIoU Kvasir-SEG/10-shot image generation/mDice Kvasir-SEG/10-shot image generation/mIoU Kvasir-SEG/Medical Image Segmentation/Average MAE Kvasir-SEG/Medical Image Segmentation/F-measure Kvasir-SEG/Medical Image Segmentation/FPS Kvasir-SEG/Medical Image Segmentation/Precision Kvasir-SEG/Medical Image Segmentation/Recall Kvasir-SEG/Medical Image Segmentation/S-Measure Kvasir-SEG/Medical Image Segmentation/mIoU Kvasir-SEG/Medical Image Segmentation/max E-Measure Kvasir-SEG/Medical Image Segmentation/mean Dice Kvasir-SEG/Semantic Segmentation/mDice Kvasir-SEG/Semantic Segmentation/mIoU KvasirCapsule-SEG/Medical Image Segmentation/DSC KvasirCapsule-SEG/Medical Image Segmentation/mIoU

Statistics

Papers: 117
Benchmarks: 2

Links

Tasks

Colorectal Gland Segmentation:Colorectal Polyps Characterization Image Classification Medical Image Segmentation Object Detection Polyp Segmentation Real-Time Object Detection Real-Time Semantic Segmentation Semantic Segmentation