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--- |
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license: agpl-3.0 |
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task_categories: |
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- object-detection |
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language: |
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- en |
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tags: |
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- ultralytics |
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- YOLO11 |
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- Brain-tumor |
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- Medical |
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- Research-and-development |
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- YOLOv8 |
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- MedicalImaging |
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pretty_name: Brain-tumor |
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size_categories: |
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- n<1K |
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--- |
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# Ultralytics Brain-tumor Dataset |
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## Introduction |
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[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. |
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## Sample Images and Annotations |
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Here are some examples of images from the dataset, along with their corresponding annotations in a training mosaic: |
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## Resources |
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For more information about how to use Brain-tumor, the following resources are available: |
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- Browse the detailed dataset documentation at [Docs](https://docs.ultralytics.com/datasets/detect/brain-tumor/) for usage and implementation guidance. |
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- Raise an issue on [GitHub](https://github.com/ultralytics/hub/issues/new/choose) for support and troubleshooting. |
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- Join our [Discord](https://ultralytics.com/discord) community to engage in discussions with fellow users and developers. |
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- Explore Ultralytics' wider work and community engagement at our [Community](https://community.ultralytics.com) page. |
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To request an Enterprise License, please complete the form at [Ultralytics Licensing](https://ultralytics.com/license). |
