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-BrainTumorClassification
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-A large-scale curated brain MRI image dataset for multi-class brain tumor classification and medical imaging research.
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-Dataset Overview
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-BrainTumorClassification is a curated collection of brain MRI scans designed for training and evaluating machine learning and deep learning models for brain tumor classification.
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-The dataset contains 16,599 MRI images categorized into four clinically relevant classes:
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-Glioma
-Meningioma
-Pituitary Tumor
-No Tumor
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-This dataset was created through the curation, validation, and reorganization of publicly available brain MRI datasets, primarily derived from the widely used Brain Tumor MRI datasets available on Kaggle. Additional quality checks and structural improvements were performed to make the dataset more suitable for modern machine learning workflows.
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-Key Features
-16,599 MRI images
-4 classification categories
-Pre-organized training, validation, and testing splits
-CSV label files included
-Suitable for CNNs, Vision Transformers, and transfer learning
-Ready for PyTorch, TensorFlow, Keras, and Hugging Face workflows
-Dataset Structure
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-The dataset is organized into three primary splits:
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-BrainTumorClassification/
-│
-├── train/
-│   ├── _classes.csv
-│   ├── part1/
-│   │   ├── image_001.jpg
-│   │   ├── image_002.jpg
-│   │   └── ...
-│   │
-│   └── part2/
-│       ├── image_xxx.jpg
-│       ├── image_xxx.jpg
-│       └── ...
-│
-├── valid/
-│   ├── _classes.csv
-│   ├── image_xxx.jpg
-│   ├── image_xxx.jpg
-│   └── ...
-│
-└── test/
-    ├── _classes.csv
-    ├── image_xxx.jpg
-    ├── image_xxx.jpg
-    └── ...
-Split Description
-Train
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-The training split contains the majority of the dataset and is further divided into:
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-part1/
-part2/
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-Both folders contain MRI images used for model training. The corresponding _classes.csv file provides image labels and class mappings.
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-Validation
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-The validation split contains MRI images used for model tuning and hyperparameter optimization. Labels are provided through the accompanying _classes.csv file.
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-Test
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-The test split contains MRI images reserved for final model evaluation. Labels are provided through the accompanying _classes.csv file.
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-Classification Categories
-Class	Description
-Glioma	MRI scans containing Glioma tumors
-Meningioma	MRI scans containing Meningioma tumors
-Pituitary	MRI scans containing Pituitary tumors
-No Tumor	MRI scans without detectable tumor presence
-Dataset Creation and Curation
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-This dataset is based on publicly available Brain Tumor MRI datasets released through Kaggle and other open research sources.
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-The curation process included:
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-Dataset collection and consolidation
-Label verification
-Removal of corrupted files
-Structural reorganization
-Quality validation
-Consistent split generation
-Preparation for machine learning pipelines
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-The objective was to provide a larger, cleaner, and more accessible dataset for researchers, students, and practitioners working on brain tumor classification tasks.
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-Intended Applications
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-This dataset can be used for:
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-Brain tumor classification
-Medical image analysis
-Deep learning research
-Transfer learning studies
-Vision Transformer (ViT) training
-Explainable AI (XAI)
-Grad-CAM visualization
-Academic projects
-Benchmarking classification models
-Recommended Models
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-Researchers may find this dataset suitable for:
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-ResNet50
-EfficientNet
-DenseNet
-ConvNeXt
-Vision Transformer (ViT)
-Swin Transformer
-Custom CNN architectures
-Limitations
-The dataset is intended for research and educational purposes only.
-It should not be used as a standalone diagnostic tool.
-Performance on this dataset may not directly translate to real-world clinical environments.
-MRI acquisition protocols may differ across institutions and scanners.
-Citation
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-If you use this dataset in your research, publication, thesis, dissertation, report, or commercial project, please cite:
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-@dataset{patel_braintumorclassification,
-  author = {Dev Delvadiya},
-  title = {BrainTumorClassification: A Curated Brain MRI Classification Dataset},
-  year = {2026},
-  publisher = {Hugging Face},
-  url = {https://huggingface.co/datasets/devpatel1012/BrainTumorClassification}
-}
-Attribution
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-The original MRI images originate from publicly available Brain Tumor MRI datasets distributed through Kaggle and related open research sources. This repository represents a curated and reorganized version intended to improve accessibility and usability for the research community.
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-Contact
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-For questions, suggestions, corrections, or collaboration opportunities, please contact the dataset maintainer through the Hugging Face repository.
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-Dataset Curator: Dev Patel
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-Total Images: 16,599
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-Task: Multi-Class Brain Tumor Classification