---
annotations_creators:
- no-annotation
language: []
language_creators:
- expert-generated
license:
- cc-by-sa-3.0
multilinguality: []
pretty_name: IXI-2D
size_categories:
- 10K<n<100K
source_datasets:
- original
tags:
- medical imaging
- mri
- brains
task_categories:
- unconditional-image-generation
task_ids: []
dataset_info:
  features:
  - name: image
    dtype: image
  splits:
  - name: train
    num_bytes: 111340223
    num_examples: 25447
  - name: validation
    num_bytes: 12463820
    num_examples: 2828
  download_size: 133058419
  dataset_size: 123804043
---

# Dataset Card for IXI2D

### Dataset Summary

This IXI2D dataset contains around 28000 2D axial slices extracted from 600 MRI images of healthy subjects. Each MRI volume was skull-stripped, white matter normalized and registered to the ['fsaverage'](https://surfer.nmr.mgh.harvard.edu/fswiki/FsAverage) template using affine transformation. The slices were automatically selected based on the fraction of the amount of brain present in the image.

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

Thanks to [@iamkzntsv](https://github.com/iamkzntsv) for adding this dataset.