datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tekno21-brain-stroke-dataset-multi
Dataset Card for BTX24/tekno21-brain-stroke-dataset-multi
🔗 Dataset Sources
Dataset Source: TEKNOFEST-2021 Stroke Dataset
Kaggle: İnme Veri Seti (Stroke Dataset)
Sağlık Bakanlığı Açık Veri Portalı: İnme Veri Seti
Dataset Structure
Format: PNG
Total Images: 7,369
Categories:
hemorajik/ (Hemorrhagic stroke images)
iskemik/ (Ischemic stroke images)
normal/ (Non-stroke images)
The dataset is structured in a folder-based format where images are grouped into… See the full description on the dataset page: https://huggingface.co/datasets/BTX24/tekno21-brain-stroke-dataset-multi.africa-synth-aid-flows-brain-tumor-mri-colorized-ehr-all
Brain Tumor (MRI) Detection Colourized with EHR | Africa (Electric Sheep Africa metadata inventory)
Size category: n<1K - Formats: not declared - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-aid-flows-brain-tumor-mri-colorized-ehr-all.brain_tumors_dataset
Brain Tumour Dataset
This dataset contains 4 types of brain's condition gioma, healthy, meningioma and pituitary with around more than 5k images
You can use this dataset for Brain Tumor Classification
brain-mri-plane-aware-vlm
Brain MRI Plane-Aware VLM Dataset
Dataset Description
This dataset is derived from the BRISC 2025 dataset and has been processed specifically for training Vision-Language Models (VLMs) with plane-aware understanding of brain MRI scans.
Source Dataset
Original dataset: BRISC 2025
The BRISC 2025 dataset contains:
6,000 T1-weighted MRI images
Four tumor classes: Glioma, Meningioma, Pituitary Tumor, and No Tumor
Pixel-wise segmentation masks validated by… See the full description on the dataset page: https://huggingface.co/datasets/AhmadIshaqai/brain-mri-plane-aware-vlm.brain-mri-plane-aware
Brain MRI Plane-Aware VLM Dataset (Enhanced)
This is an enhanced version of the brain MRI dataset with natural language descriptions for training Vision-Language Models (VLMs).
Features
Natural language descriptions: Human-like, diverse captions for each MRI scan
Tumor types: Glioma, Meningioma, Pituitary tumors, and normal cases
MRI planes: Sagittal, Axial, and Coronal views
Sequence types: T1-weighted imaging
High diversity: 75-85% unique descriptions with varied… See the full description on the dataset page: https://huggingface.co/datasets/AhmadIshaqai/brain-mri-plane-aware.tekno21-brain-stroke-dataset-binary
Dataset Card for BTX24/tekno21-brain-stroke-dataset-binary
Dataset Description
📌 EN:The TEKNO21 Brain Stroke Dataset consists of 7,369 anonymized brain CT scans in DICOM and PNG formats, labeled by seven expert radiologists. It includes acute/hyperacute ischemic and hemorrhagic stroke cases, as well as non-stroke images. Each annotation was verified for accuracy. The dataset was curated from the Turkish Ministry of Health’s e-Pulse and Teleradiology System (2019–2020) as… See the full description on the dataset page: https://huggingface.co/datasets/BTX24/tekno21-brain-stroke-dataset-binary.brain-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.Brain3-Anomaly-Classification
Brain3-Anomaly-Classification
The Brain3-Anomaly-Classification dataset is a curated collection of brain MRI scans categorized into three types of brain anomalies. It is designed for use in machine learning applications related to medical imaging, especially in the detection and classification of brain tumors.
Dataset Summary
Total Samples: 6,000
Image Size: 512 x 512 pixels (grayscale)
Number of Classes: 3
Data Split: Only train split is provided
Each image in the… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Brain3-Anomaly-Classification.braintumorbrain-mri-plane-aware-vlm
Brain MRI Plane-Aware VLM Dataset
Dataset Description
This dataset is derived from the BRISC 2025 dataset and has been processed specifically for training Vision-Language Models (VLMs) with plane-aware understanding of brain MRI scans.
Source Dataset
Original dataset: BRISC 2025
The BRISC 2025 dataset contains:
6,000 T1-weighted MRI images
Four tumor classes: Glioma, Meningioma, Pituitary Tumor, and No Tumor
Pixel-wise segmentation masks validated… See the full description on the dataset page: https://huggingface.co/datasets/zjj30/brain-mri-plane-aware-vlm.