BrainTumorClassification: 16,599 Brain MRI Images for Multi-Class Tumor Detection

BrainTumorClassification is a curated collection of 16,599 brain MRI images designed for training and evaluating machine learning models. The dataset contains images across four diagnostic categories: Glioma, Meningioma, Pituitary Tumor, and No Tumor. It was developed by devpatel1012 and was last updated on the platform in June 2026.

Use Cases

• Train multi-class image classifiers based on the four diagnostic categories (Glioma, Meningioma, Pituitary Tumor, No Tumor).
• Benchmark deep learning model performance for medical image analysis using the curated MRI collection.
• Conduct research on feature extraction and representation learning for brain tumor detection in MRI scans.

Strengths

• Contains 16,599 brain MRI images, providing a substantial volume for model training.
• Curated for multi-class classification with four distinct diagnostic categories.
• Explicitly designed for machine learning and deep learning applications.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

huggingface

Freshness

Last updated 2026-06-11 12:47:27; freshness should be verified.