708K medical images pre-processed to MNIST-like format across 12 datasets and 6 modalities.
Browse commercial Medical Imaging → Visit original source ↗MedMNIST v2 is a standardized collection of 12 biomedical image datasets reformatted to MNIST-scale (28×28 or 28×28×28 for 3D) for rapid benchmarking. Covers 6 modalities — pathology, chest X-ray, OCT, ultrasound, CT, dermatoscopy — with 708,069 images total across 12 classification tasks.
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 MedMNIST v2 is the default or competitive choice.
What's actually in the dataset — from the maintainer's published stats.
MedMNIST v2 is distributed under CC BY 4.0. 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.
LabelSets sellers offer paid medical imaging datasets with what public datasets often can't give you:
Other entries in the Medical Imaging catalog.