CheXpert
by Stanford ML Group · free · Last verified 2026-03-17
CheXpert is a large chest X-ray dataset from Stanford containing 224,316 chest radiographs from 65,240 patients with labels for 14 observations mined from radiology reports using an automated labeler. It uniquely addresses label uncertainty with positive, negative, and uncertain labels, making it a challenging and realistic benchmark for automated chest X-ray interpretation.
https://stanfordmlgroup.github.io/competitions/chexpert/ ↗B+
B+—Good
Adoption: AQuality: A+Freshness: B+Citations: AEngagement: F
Specifications
- License
- Stanford University Dataset Research Use Agreement
- Pricing
- free
- Capabilities
- chest-x-ray-classification, radiology-ai, multi-label-classification
- Integrations
- PyTorch, TensorFlow, HuggingFace
- Use Cases
- medical-ai-research, benchmark, model-training
- API Available
- No
- Tags
- chest-x-ray, radiology, multi-label, label-uncertainty, Stanford
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
73.2Adoption
83
Quality
90
Freshness
70
Citations
88
Engagement
0
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