Lung Ultrasound Imaging Dataset for Accurate Detection and Localization of B-line Artifacts

This dataset contains 401 high-resolution lung ultrasound (LUS) images annotated with polygonal bounding boxes identifying B-line artifacts. The images were collected from 255 patients with pulmonary diseases at Mulago and Kiruddu National Referral Hospitals in Uganda. B-line artifacts are important indicators for conditions like pulmonary edema, interstitial lung disease, pneumonia, and COVID-19. This dataset provides a resource for training and validating deep learning models for B-line detection and localization, helping to improve AI-assisted respiratory diagnostics.