COVID-19 Chest X-ray Segmentations Dataset

COVID-19 Chest X-ray Segmentations Dataset Overview

Dataset Summary

• Name: COVID-19 Chest X-ray Segmentations Dataset
• Description: This dataset contains segmentation data of chest X‑rays from COVID‑19 patients, intended to assist researchers in finding solutions during the pandemic. It comprises 100 images, each manually annotated by qualified radiologists.

Dataset Contents

• Classes and Counts:
  • Left Lung: 99 images, 99 masks
  • Right Lung: 100 images, 100 masks
  • Heart and Mediastinum: 100 images, 100 masks
  • Airways: 99 images, 99 masks
  • Ground‑glass Opacity: 93 images, 93 masks
  • Consolidation: 32 images, 32 masks
  • Pleural Effusion: 2 images, 2 masks
  • Pneumothorax: 1 image, 1 mask
  • Endotracheal Tube: 13 images, 13 masks
  • Central Venous Line: 11 images, 11 masks
  • Monitoring Probe: 26 images, 26 masks
  • Nasogastric Tube: 10 images, 10 masks
  • Chest Tube: No data
  • Tubing: 16 images, 16 masks

Dataset Download

• Access Methods:
  • ZIP format: Direct download
  • Git clone: Use the command git clone https://github.com/GeneralBlockchain/covid-19-chest-xray-segmentations-dataset.git

Usage Warning

• Warning: Do not claim diagnostic performance of models without clinical studies.

License

• License: Each image’s licensing information is contained in the metadata.csv file, including Apache 2.0, CC BY‑NC‑SA 4.0, and CC BY 4.0. The entire repository is released under the Attribution 4.0 International (CC BY 4.0) license.