Datasets:
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---
dataset_info:
builder_name: dataset_loader
config_name: default
data_files:
- split: train
path: classification/Training/**
- split: test
path: classification/Testing/**
license: apache-2.0
language:
- en
tags:
- biology
- medical
- brain
- image
- classification
- image-classification
size_categories:
- 1K<n<10K
---
# Brain Cancer MRI Classification Dataset
This dataset contains MRI images for brain cancer classification, organized for machine learning tasks. It is suitable for use with Hugging Face datasets and model training.
## Dataset Structure
- `classification/Training/` - Training images, organized by cancer type (e.g., glioma, meningioma, pituitary)
- `classification/Testing/` - Testing images, organized similarly
## Labels
- `glioma`
- `meningioma`
- `pituitary`
- `notumor`
## Usage
You can use this dataset for:
- Image classification
- Deep learning model training
- Medical image analysis
## Example
```python
from datasets import load_dataset
dataset = load_dataset('huseyincavus/Brain_Cancer_MRI_Classsification')
```
## Citation
Kaggle: https://www.kaggle.com/datasets/huseyincavus/brainmri-classification
## License
This dataset is licensed under the Apache License 2.0. |