Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
File size: 1,161 Bytes
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---
configs:
- config_name: default
data_files:
- split: train
path:
- "Training/1-notumor/*.jpg"
- "Training/2-glioma/*.jpg"
- "Training/3-meningioma/*.jpg"
- "Training/4-pituitary/*.jpg"
- split: test
path:
- "Testing/1-notumor/*.jpg"
- "Testing/2-glioma/*.jpg"
- "Testing/3-meningioma/*.jpg"
- "Testing/4-pituitary/*.jpg"
task_categories:
- image-classification
language:
- en
size_categories:
- 1K<n<10K
---
## Dataset description
This dataset is a combination of the following three datasets :
[Figshare](https://figshare.com/articles/dataset/brain_tumor_dataset/1512427)\
[SARTAJ dataset](https://github.com/sartajbhuvaji/brain-tumor-classification-dataset)\
[Br35H](https://www.kaggle.com/datasets/ahmedhamada0/brain-tumor-detection?select=no)
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](https://www.kaggle.com/datasets/masoudnickparvar/brain-tumor-mri-dataset) |