CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels.

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.

Best published scores.

7 results indexed across 1 metric. Shaded row marks current SOTA; ties broken by submission date.

Primary

auroc · higher is better

1 steps
of state of the art.

Each row below marks a model that broke the previous record on auroc. Intermediate submissions are kept in the leaderboard above; only SOTA-setting entries are re-listed here.

Higher scores win. Each subsequent entry improved upon the previous best.

1. Dec 19, 2025CheXpert AUC MaximizerStanford93

Neighbouring benchmarks.

Other Disease Classification datasets on Codesota.

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

• 01A public checkpoint or API endpoint
• 02A reproduction script with frozen commit + seed
• 03Declared evaluation environment (Python, deps)
• 04One row per metric declared by this dataset
• 05A contact so we can follow up on discrepancies