Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
metadata
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 :
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