datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
BrainTumorClassification
BrainTumorClassification
A large-scale curated brain MRI image dataset for multi-class brain tumor classification and medical imaging research.
Dataset Overview
BrainTumorClassification is a curated collection of 16,599 brain MRI images designed for training and evaluating machine learning and deep learning models for brain tumor classification.
The dataset contains four diagnostic categories:
Glioma
Meningioma
Pituitary Tumor
No Tumor
This dataset was developed… See the full description on the dataset page: https://huggingface.co/datasets/devpatel1012/BrainTumorClassification.Brain-Tumor-Classificationbrain-tumor-single-slice-MRI-scan-with-synthetic-ehr-africa
Dataset Card: Africa Brain Tumor Scans with Synthetic EHR (Bundled Parquet)
This dataset bundles single-slice brain MRI scans and richly structured, synthetic EHR data into a single Parquet file suitable for multimodal ML research. Each row contains an image struct (bytes + path), a source label column, and an EHR payload with both a full JSON record and convenient summary columns.
The synthetic EHRs are Africa-focused: they encode country, urban/rural, facility level, insurance… See the full description on the dataset page: https://huggingface.co/datasets/saad02/brain-tumor-single-slice-MRI-scan-with-synthetic-ehr-africa.braintumor