---
license: agpl-3.0
task_categories:
- object-detection
language:
- en
tags:
- ultralytics
- YOLO11
- Brain-tumor
- Medical
- Research-and-development
- YOLOv8
- MedicalImaging
pretty_name: Brain-tumor
size_categories:
- n<1K
---

# Ultralytics Brain-tumor Dataset

## Introduction

[Ultralytics](https://ultralytics.com) brain tumor detection dataset consists of medical images from MRI or CT scans, containing information about brain tumor presence, location, and characteristics. This dataset is essential for training [computer vision](https://www.ultralytics.com/glossary/computer-vision-cv) algorithms to automate brain tumor identification, aiding in early diagnosis and treatment planning.


## Sample Images and Annotations

Here are some examples of images from the dataset, along with their corresponding annotations in a training mosaic:

![Brain tumor dataset sample image](https://github.com/ultralytics/docs/releases/download/0/brain-tumor-dataset-sample-image.avif)

## Resources

For more information about how to use Brain-tumor, the following resources are available:

- Browse the detailed dataset documentation at [Docs](https://docs.ultralytics.com/datasets/detect/brain-tumor/) for usage and implementation guidance.
- Raise an issue on [GitHub](https://github.com/ultralytics/hub/issues/new/choose) for support and troubleshooting.
- Join our [Discord](https://ultralytics.com/discord) community to engage in discussions with fellow users and developers.
- Explore Ultralytics' wider work and community engagement at our [Community](https://community.ultralytics.com) page.

To request an Enterprise License, please complete the form at [Ultralytics Licensing](https://ultralytics.com/license).