Medical

1,112 resting-state fMRI datasets from 539 individuals with autism spectrum disorder (ASD) and 573 typically developing controls across 17 international sites. Multi-site neuroimaging data for autism classification and biomarker discovery.

1,114 datasets from 521 individuals with autism spectrum disorder (ASD) and 593 typically developing controls across 19 sites. Second large-scale release complementing ABIDE I with additional multi-site neuroimaging data.

224,316 chest radiographs from 65,240 patients with 14 pathology labels. Includes uncertainty labels and expert radiologist annotations for validation set. The gold standard for chest X-ray classification.

377,110 chest X-ray images from 227,835 studies of 65,379 patients with free-text radiology reports. Largest publicly available chest X-ray dataset with paired image-text data.

112,120 frontal-view chest X-ray images from 30,805 unique patients with 14 disease labels extracted using NLP from radiology reports. Foundational benchmark for chest X-ray AI.

18,000 chest X-ray scans with radiologist annotations for 22 local labels and 6 global labels. Each image annotated by 3 radiologists with bounding box localization.

160,868 images from 67,625 patients with 174 radiographic findings, 19 diagnoses, and 104 anatomic locations. Multi-label classification with hierarchical taxonomy.

30,000 frontal chest radiographs with bounding boxes for pneumonia detection. From 2018 RSNA Kaggle competition. Tests both classification and localization.

Curated dataset of COVID-19 chest X-ray and CT images with clinical metadata. Critical resource during the pandemic for developing AI diagnostic tools.