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- ---
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- license: agpl-3.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ # Ultralytics Brain-tumor Dataset
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+
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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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+ ![Brain tumor dataset sample image](https://github.com/ultralytics/docs/releases/download/0/brain-tumor-dataset-sample-image.avif)
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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).