Ultralytics YOLO11 🚀

Welcome to the Ultralytics YOLO11 repository! This project focuses on advanced computer vision tasks using the YOLO (You Only Look Once) framework. YOLO11 is the latest iteration in the YOLO series, designed to offer enhanced performance in object detection, image classification, and instance segmentation.

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Contributing
• License
• Releases
• Contact

Introduction

The Ultralytics YOLO11 framework provides a powerful and flexible solution for various deep learning tasks. With capabilities in object detection, pose estimation, and tracking, it serves a wide range of applications in fields like robotics, surveillance, and autonomous vehicles.

Features

• High Performance: YOLO11 achieves state-of-the-art results in object detection and classification.
• Versatile Applications: Suitable for tasks like image classification, instance segmentation, and pose estimation.
• Easy to Use: Designed with a user-friendly interface, making it accessible for both beginners and experts.
• Extensive Documentation: Comprehensive guides and tutorials available to help users get started quickly.
• Community Support: Join a vibrant community of developers and researchers contributing to the project.

Installation

To install Ultralytics YOLO11, follow these steps:

1. Clone the repository: bash git clone https://github.com/tallal13/ultralytics.git cd ultralytics

2. Install the required packages: bash pip install -r requirements.txt

3. Download the latest release from the Releases section. Execute the downloaded file to complete the installation.

Usage

Using YOLO11 is straightforward. Here’s a quick guide to get you started:

1. Load the Model: ```python from ultralytics import YOLO

model = YOLO('yolo11.pt') ```

1. Perform Inference: python results = model.predict(source='image.jpg')

2. Visualize Results: python results.show()

For detailed examples and advanced usage, refer to the documentation.

Contributing

We welcome contributions from the community! If you would like to contribute to Ultralytics YOLO11, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them.
4. Push your changes to your forked repository.
5. Create a pull request.

Please ensure your code adheres to our coding standards and includes appropriate tests.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Releases

To stay updated with the latest features and improvements, check the Releases section. Download the latest release and execute the file to enjoy the new features.

Contact

For questions or support, feel free to reach out to the maintainers:

• GitHub: tallal13
• Email: tallal@example.com

We hope you enjoy using Ultralytics YOLO11! Your feedback and contributions are valuable to us. Join our community and help us improve this project further.