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