Package · PyPI
PyPI · v3.0.2 · Apache-2.0 License
[MedMNIST+] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification with Multiple Size Options: 28 (MNIST-Like), 64, 128, and 224
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
pip install medmnistPyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
In the Crest catalog
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
No published news event mentions this package or its repository yet.