Duplicate from Ultralytics/Brain-tumor

Co-authored-by: Muhammad Rizwan Munawar <muhammadrizwanmunawar@users.noreply.huggingface.co>

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README.md

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+---
+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).

brain-tumor.yaml

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+# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Brain-tumor dataset by Ultralytics
+# Documentation: https://docs.ultralytics.com/datasets/detect/brain-tumor/
+# Example usage: yolo train data=brain-tumor.yaml
+# parent
+# ├── ultralytics
+# └── datasets
+#     └── brain-tumor  ← downloads here (4.05 MB)
+
+# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
+path: ../datasets/brain-tumor # dataset root dir
+train: train/images # train images (relative to 'path') 893 images
+val: valid/images # val images (relative to 'path') 223 images
+test: # test images (relative to 'path')
+
+# Classes
+names:
+  0: negative
+  1: positive
+
+# Download script/URL (optional)
+download: https://github.com/ultralytics/assets/releases/download/v0.0.0/brain-tumor.zip