datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Brain-Tumour-MRI
Dataset Card for Brain Tumour MRI dataset
A collection of Brain scans covering three different types of tumours and as well as a control class.
Dataset Details
Dataset Description
The Dataset contains ~7000 MRI scans of the brain corresponding to 4 classes: glioma, meningioma, notumor & pituitary.
The dataset has already been split into train/test sets.
Dataset Creation
Source
This dataset was compiled and uploaded to Kaggle by Masoud… See the full description on the dataset page: https://huggingface.co/datasets/Kaynaaf/Brain-Tumour-MRI.brain-structureA collection of T1-weighted .nii.gz structural MRI scans in a BIDS-like arrangement,
with JSON sidecar metadata indicating train/validation/test splits.Masoud-Nickparvar-Brain-Tumor-MRI-Dataset
Dataset Card for Brain Tumor MRI Dataset
A dataset of 7,200 human brain MRI images, labeled into four classes — glioma, meningioma, pituitary tumor, and no tumor — for training and evaluating brain tumor classification models. This is a direct upload of the Brain Tumor MRI Dataset originally published on Kaggle by Masoud Nickparvar.
Dataset Details
Dataset Description
This dataset combines MRI images from three source datasets — figshare, the… See the full description on the dataset page: https://huggingface.co/datasets/BJyotibrat/Masoud-Nickparvar-Brain-Tumor-MRI-Dataset.brain-tumour-MRI-scan
Dataset description
This dataset is a combination of the following three datasets :
FigshareSARTAJ datasetBr35H
This dataset contains 7023 images of human brain MRI images which are divided into 4 classes: glioma - meningioma - no tumor and pituitary.
No tumor class images were taken from the Br35H dataset.
Acknowledgement
This dataset is reproduced and taken from Kaggle
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.Concept_Targeted_Causal_Images
Dataset Card for Concept-Targeted Causal Images
Dataset Summary
Concept-Targeted Causal Images is a concept-centric image dataset designed for studying causal visual representations in the brain. For each concept, the dataset contains three complementary image types:
Positive images that clearly depict the target concept
Semantic negatives that are visually or semantically related to the concept, but do not satisfy it
Counterfactual edits created by editing… See the full description on the dataset page: https://huggingface.co/datasets/BrainCause/Concept_Targeted_Causal_Images.BrainAge-Golden-Raw
BrainAge Golden Raw MRI Dataset
Curated collection of 6,152 healthy-brain T1-weighted MRI scans spanning
ages 0–86 years, assembled from 12 public neuroimaging datasets.
Splits
Split
Subjects
Age range
Size
Golden-0-to-25/
4,782
0 – 25 y
~42 GB
Golden-25plus/
1,370
25 – 86 y
~13 GB
Source datasets
BCP, Calgary, ds002726, ds000248, PTBP, IXI, MPI-Leipzig,
AOMIC-ID1000, NKI-Rockland, ABIDE-I, ABIDE-II, ADHD-200.
File… See the full description on the dataset page: https://huggingface.co/datasets/zareenz741/BrainAge-Golden-Raw.brain-tumour-MRI-scan
Dataset description
This dataset is a combination of the following three datasets :
FigshareSARTAJ datasetBr35H
This dataset contains 7023 images of human brain MRI images which are divided into 4 classes: glioma - meningioma - no tumor and pituitary.
No tumor class images were taken from the Br35H dataset.
Acknowledgement
This dataset is reproduced and taken from Kaggle
Figshare_Brain_Tumor
Figshare Brain Tumor Dataset (Cheng et al. 2015)
Brain tumor MRI dataset from Cheng et al., hosted on Figshare. 3064 T1-weighted
contrast-enhanced MRI slices from 233 patients with three kinds of brain tumor:
Meningioma — 708 slices
Glioma — 1426 slices
Pituitary tumor — 930 slices
Each slice ships with both a per-pixel binary tumor mask and the original
hand-delineated tumor border polyline.
Schema
Column
Type
Description
id
string
Slice ID, "1" to… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/Figshare_Brain_Tumor.Brain-Tumor-Classificationyolo-rubber-ducks
Rubber Duck Detection Dataset
Overview
This dataset contains 192 annotated images of rubber ducks, specifically curated for object detection tasks. It was used for experimentation related to the YOLOv8n Rubber Duck Detector model.
NOTE: I DO NOT RECOMMEND USING THIS DATASET AT THIS TIME. There is an open and ongoing discussion around the use of the datasets that were combined for this.See related licensing discussion on the forum
Dataset Description… See the full description on the dataset page: https://huggingface.co/datasets/brainwavecollective/yolo-rubber-ducks.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.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.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_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_TUMOR
🧠 Brain Tumor MRI RAG Database (Part 2)
A specialized Retrieval-Augmented Generation (RAG) database for brain tumor MRI image analysis, built using DenseNet-121 deep learning model and FAISS vector search.
Developed by: Gaston Software Solutions LLPLocation: Ntinda, Kampala, UgandaContact: info@gss-tec.comWebsite: www.gss-tec.com
📊 Database Overview
Statistics
Total Images: 7,200 brain MRI scans
Embedding Dimension: 1,024 features per image… See the full description on the dataset page: https://huggingface.co/datasets/ugahost991/BRAIN_TUMOR.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-tumour-v1brain-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.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.brain-tumour-MRI-scan
Dataset description
This dataset is a combination of the following three datasets :
FigshareSARTAJ datasetBr35H
This dataset contains 7023 images of human brain MRI images which are divided into 4 classes: glioma - meningioma - no tumor and pituitary.
No tumor class images were taken from the Br35H dataset.
Acknowledgement
This dataset is reproduced and taken from Kaggle
BrainAge-Golden-Raw
BrainAge Golden Raw MRI Dataset
Curated collection of 6,152 healthy-brain T1-weighted MRI scans spanning
ages 0–86 years, assembled from 12 public neuroimaging datasets.
Splits
Split
Subjects
Age range
Size
Golden-0-to-25/
4,782
0 – 25 y
~42 GB
Golden-25plus/
1,370
25 – 86 y
~13 GB
Source datasets
BCP, Calgary, ds002726, ds000248, PTBP, IXI, MPI-Leipzig,
AOMIC-ID1000, NKI-Rockland, ABIDE-I, ABIDE-II, ADHD-200.
File… See the full description on the dataset page: https://huggingface.co/datasets/bilalahmad176176/BrainAge-Golden-Raw.brain-tumour-v2braintumorbrain-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.ldwcnet-brain-mri-5-model
LDW-CNet Training Logs & Evaluation Artefacts
This dataset repository hosts the training histories, evaluation reports, and
figures for the LDW-CNet project. The underlying brain MRI images are NOT
redistributed here — they come from the upstream Kaggle dataset
[masoudnickparvar/brain-tumor-mri-dataset]
(https://www.kaggle.com/datasets/masoudnickparvar/brain-tumor-mri-dataset).
Repository contents
training_logs/ Per-model CSV history (loss, F1, λ_wc, LR per… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/ldwcnet-brain-mri-5-model.brain-tumour-MRI-scan
Dataset description
This dataset is a combination of the following three datasets :
FigshareSARTAJ datasetBr35H
This dataset contains 7023 images of human brain MRI images which are divided into 4 classes: glioma - meningioma - no tumor and pituitary.
No tumor class images were taken from the Br35H dataset.
Acknowledgement
This dataset is reproduced and taken from Kaggle
synthetic_brain_mriThis dataset was obtained as part of the Generative Modelling project from the Artificial Medical Intelligence Group -
AMIGO (https://amigos.ai/). It consists on of 1,000 synthetic T1w images sampled from generative models trained on
data originally from the UK Biobank dataset (https://www.ukbiobank.ac.uk/).brain-mri-redacted
brain-mri-redacted
De-identified medical imaging study processed by micom.
Dataset Summary
Property
Value
Study
brain-mri-redacted
Series
19 image + 0 presentation state
Quality Grade
? (?/100)
HIPAA Score
100.0/100 (0 PHI findings post-redaction)
Scanner
GE MEDICAL SYSTEMS 3T
Visualizations
13544
De-identification
This dataset has been de-identified using HIPAA Safe Harbor (45 CFR 164.514(b)(2)):
26 tags removed (address… See the full description on the dataset page: https://huggingface.co/datasets/shubhxho/brain-mri-redacted.