224,316 chest X-rays from Stanford with automated + expert labels for 14 observations.
Browse commercial Medical Imaging → Visit original source ↗CheXpert is Stanford ML Group's chest radiograph dataset. 224,316 chest X-rays of 65,240 patients with expert-labeled test set and rule-based training labels for 14 observations. The validation set has 8 expert radiologist labels per image for robust evaluation.
LQS is our 7-dimension quality score, computed from the dataset's published statistics. See methodology →
Composite score computed from the 7 dimensions below: completeness, uniqueness, validation health, size adequacy, format compliance, label density, and class balance.
Common tasks and benchmarks where CheXpert is the default or competitive choice.
What's actually in the dataset — from the maintainer's published stats.
CheXpert is distributed under Stanford Research Use License. This is a third-party public dataset; LabelSets indexes and scores it but does not host or redistribute the data. Always verify current license terms with the maintainer before commercial use.
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Other entries in the Medical Imaging catalog.