ultralytics · pderrenger · Mar 28, 2025 · Mar 28, 2025 · Mar 28, 2025
diff --git a/README.md b/README.md
@@ -7,17 +7,19 @@ Welcome to Ultralytics Docs, your comprehensive resource for understanding and u
 [![pages-build-deployment](https://github.com/ultralytics/docs/actions/workflows/pages/pages-build-deployment/badge.svg)](https://github.com/ultralytics/docs/actions/workflows/pages/pages-build-deployment)
 [![Check Broken links](https://github.com/ultralytics/docs/actions/workflows/links.yml/badge.svg)](https://github.com/ultralytics/docs/actions/workflows/links.yml)
 [![Check Domains](https://github.com/ultralytics/docs/actions/workflows/check_domains.yml/badge.svg)](https://github.com/ultralytics/docs/actions/workflows/check_domains.yml)
-[![Ultralytics Actions](https://github.com/ultralytics/docs/actions/workflows/format.yml/badge.svg)](https://github.com/ultralytics/docs/actions/workflows/format.yml)
 
-<a href="https://discord.com/invite/ultralytics"><img alt="Discord" src="https://img.shields.io/discord/1089800235347353640?logo=discord&logoColor=white&label=Discord&color=blue"></a> <a href="https://community.ultralytics.com/"><img alt="Ultralytics Forums" src="https://img.shields.io/discourse/users?server=https%3A%2F%2Fcommunity.ultralytics.com&logo=discourse&label=Forums&color=blue"></a> <a href="https://reddit.com/r/ultralytics"><img alt="Ultralytics Reddit" src="https://img.shields.io/reddit/subreddit-subscribers/ultralytics?style=flat&logo=reddit&logoColor=white&label=Reddit&color=blue"></a>
+[![Ultralytics Actions](https://github.com/ultralytics/docs/actions/workflows/format.yml/badge.svg)](https://github.com/ultralytics/docs/actions/workflows/format.yml)
+[![Ultralytics Discord](https://img.shields.io/discord/1089800235347353640?logo=discord&logoColor=white&label=Discord&color=blue)](https://discord.com/invite/ultralytics)
+[![Ultralytics Forums](https://img.shields.io/discourse/users?server=https%3A%2F%2Fcommunity.ultralytics.com&logo=discourse&label=Forums&color=blue)](https://community.ultralytics.com/)
+[![Ultralytics Reddit](https://img.shields.io/reddit/subreddit-subscribers/ultralytics?style=flat&logo=reddit&logoColor=white&label=Reddit&color=blue)](https://reddit.com/r/ultralytics)
 
 ## 🛠️ Installation
 
 [![PyPI - Version](https://img.shields.io/pypi/v/ultralytics?logo=pypi&logoColor=white)](https://pypi.org/project/ultralytics/)
 [![Downloads](https://static.pepy.tech/badge/ultralytics)](https://www.pepy.tech/projects/ultralytics)
 [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/ultralytics?logo=python&logoColor=gold)](https://pypi.org/project/ultralytics/)
 
-To install the `ultralytics` package in developer mode, which allows you to modify the source code directly, ensure you have [Git](https://git-scm.com/) and [Python](https://www.python.org/) 3.9 or later installed on your system. Then, follow these steps:
+To install the `ultralytics` package in developer mode, which allows you to modify the source code directly, ensure you have [Git](https://git-scm.com/downloads) and [Python](https://www.python.org/downloads/) 3.9 or later installed on your system. Then, follow these steps:
 
 1.  Clone the `ultralytics` repository to your local machine using Git:
 
@@ -31,17 +33,17 @@ To install the `ultralytics` package in developer mode, which allows you to modi
     cd ultralytics
     ```
 
-3.  Install the package in editable mode (`-e`) along with its development dependencies (`[dev]`) using [pip](https://pip.pypa.io/en/stable/):
+3.  Install the package in editable mode (`-e`) along with its development dependencies (`[dev]`) using [pip](https://pip.pypa.io/en/stable/installation/):
 
     ```bash
     pip install -e '.[dev]'
     ```
 
-    This command installs the `ultralytics` package such that changes to the source code are immediately reflected in your environment, ideal for development.
+    This command installs the `ultralytics` package such that changes to the source code are immediately reflected in your environment, ideal for development and contributing.
 
 ## 🚀 Building and Serving Locally
 
-The `mkdocs serve` command builds and serves a local version of your [MkDocs](https://www.mkdocs.org/) documentation. This is highly useful during development and testing to preview changes.
+The `mkdocs serve` command builds and serves a local version of your [MkDocs](https://www.mkdocs.org/) documentation. This is highly useful during development and testing to preview changes in real-time.
 
 ```bash
 mkdocs serve
@@ -90,7 +92,7 @@ If your documentation supports multiple languages, follow these steps to build a
 
 ## 📤 Deploying Your Documentation Site
 
-To deploy your MkDocs documentation site, choose a hosting provider and configure your deployment method. Common options include [GitHub Pages](https://pages.github.com/), GitLab Pages, or other static site hosting services.
+To deploy your MkDocs documentation site, choose a hosting provider and configure your deployment method. Common options include [GitHub Pages](https://pages.github.com/), GitLab Pages, or other static site hosting services like [Netlify](https://www.netlify.com/) or [Vercel](https://vercel.com/).
 
 - Configure deployment settings within your `mkdocs.yml` file.
 - Use the `mkdocs deploy` command specific to your chosen provider to build and deploy your site.
@@ -110,22 +112,22 @@ To deploy your MkDocs documentation site, choose a hosting provider and configur
 
 ## 💡 Contribute
 
-We deeply value contributions from the open-source community to enhance Ultralytics projects. Your input helps drive innovation! Please review our [Contributing Guide](https://docs.ultralytics.com/help/contributing/) for detailed information on how to get involved. You can also share your feedback and ideas through our [Survey](https://www.ultralytics.com/survey?utm_source=github&utm_medium=social&utm_campaign=Survey). A heartfelt thank you 🙏 to all our contributors for their dedication and support!
+We deeply value contributions from the open-source community to enhance Ultralytics projects. Your input helps drive innovation in [computer vision](https://www.ultralytics.com/glossary/computer-vision-cv) and [AI](https://www.ultralytics.com/glossary/artificial-intelligence-ai)! Please review our [Contributing Guide](https://docs.ultralytics.com/help/contributing/) for detailed information on how to get involved. You can also share your feedback and ideas through our quick [Survey](https://www.ultralytics.com/survey?utm_source=github&utm_medium=social&utm_campaign=Survey). A heartfelt thank you 🙏 to all our contributors for their dedication and support!
 
-![Ultralytics open-source contributors](https://raw.githubusercontent.com/ultralytics/assets/main/im/image-contributors.png)
+[![Ultralytics open-source contributors](https://raw.githubusercontent.com/ultralytics/assets/main/im/image-contributors.png)](https://github.com/ultralytics/ultralytics/graphs/contributors)
 
 We look forward to your contributions!
 
 ## 📜 License
 
 Ultralytics Docs are available under two licensing options to accommodate different usage scenarios:
 
-- **AGPL-3.0 License**: Ideal for students, researchers, and enthusiasts involved in academic pursuits and open collaboration. See the [LICENSE](https://github.com/ultralytics/docs/blob/main/LICENSE) file for full details. This license promotes sharing improvements back with the community.
-- **Enterprise License**: Designed for commercial applications, this license allows seamless integration of Ultralytics software and [AI models](https://docs.ultralytics.com/models/) into commercial products and services. Visit [Ultralytics Licensing](https://www.ultralytics.com/license) for more information on obtaining an Enterprise License.
+- **AGPL-3.0 License**: Ideal for students, researchers, and enthusiasts involved in academic pursuits and open collaboration. See the [LICENSE](https://github.com/ultralytics/docs/blob/main/LICENSE) file for full details. This license promotes sharing improvements back with the community, fostering an open and collaborative environment.
+- **Enterprise License**: Designed for commercial applications, this license allows seamless integration of Ultralytics software and [AI models](https://docs.ultralytics.com/models/) into commercial products and services without the open-source requirements of AGPL-3.0. Visit [Ultralytics Licensing](https://www.ultralytics.com/license) for more information on obtaining an Enterprise License.
 
 ## ✉️ Contact
 
-For bug reports, feature requests, and other issues related to the documentation, please use [GitHub Issues](https://github.com/ultralytics/docs/issues). For discussions, questions, and community support, join the conversation with peers and the Ultralytics team on our [Discord server](https://discord.com/invite/ultralytics)!
+For bug reports, feature requests, and other issues related to the documentation, please use [GitHub Issues](https://github.com/ultralytics/docs/issues). For discussions, questions, and community support regarding Ultralytics software, [Ultralytics HUB](https://docs.ultralytics.com/hub/), and more, join the conversation with peers and the Ultralytics team on our [Discord server](https://discord.com/invite/ultralytics)!
 
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diff --git a/docs/en/compare/damo-yolo-vs-pp-yoloe.md b/docs/en/compare/damo-yolo-vs-pp-yoloe.md
@@ -97,7 +97,7 @@ DAMO-YOLO is particularly effective in scenarios demanding high detection accura
 
 - **High-Precision Object Detection**: Applications requiring meticulous object detection, such as detailed [industrial inspection](https://www.ultralytics.com/solutions/ai-in-manufacturing) or [medical image analysis](https://www.ultralytics.com/glossary/medical-image-analysis).
 - **Surveillance and Security**: Scenarios where accurate detection of small or occluded objects is critical for effective monitoring and security.
-- **Autonomous Driving**: Applications like [self-driving cars](https://www.ultralytics.com/solutions/ai-in-self-driving) where precise environmental perception is crucial for safety and navigation.
+- **Autonomous Driving**: Applications like [self-driving cars](https://www.ultralytics.com/solutions/ai-in-automotive) where precise environmental perception is crucial for safety and navigation.
 
 [Learn more about DAMO-YOLO](https://github.com/tinyvision/DAMO-YOLO){ .md-button }
 

diff --git a/docs/en/compare/damo-yolo-vs-rtdetr.md b/docs/en/compare/damo-yolo-vs-rtdetr.md
@@ -42,7 +42,7 @@ As indicated in the comparison table below, RTDETRv2 models offer impressive mAP
 
 RTDETRv2 is ideally suited for applications where high accuracy is paramount and sufficient computational resources are available. These include:
 
-- **Autonomous Vehicles:** For reliable and precise perception of the environment. Learn more about [AI in self-driving cars](https://www.ultralytics.com/solutions/ai-in-self-driving).
+- **Autonomous Vehicles:** For reliable and precise perception of the environment. Learn more about [AI in self-driving cars](https://www.ultralytics.com/solutions/ai-in-automotive).
 - **Robotics:** Enabling robots to accurately interact with and manipulate objects in complex settings. Explore the role of [AI in Robotics](https://www.ultralytics.com/blog/from-algorithms-to-automation-ais-role-in-robotics).
 - **Medical Imaging:** For precise detection of anomalies in medical images, aiding in diagnostics. Discover more about [AI in Healthcare](https://www.ultralytics.com/solutions/ai-in-healthcare).
 - **High-Resolution Image Analysis:** Applications requiring detailed analysis of large images, such as satellite imagery or industrial inspection. See how to [analyse satellite imagery using computer vision](https://www.ultralytics.com/blog/using-computer-vision-to-analyse-satellite-imagery).

diff --git a/docs/en/compare/damo-yolo-vs-yolo11.md b/docs/en/compare/damo-yolo-vs-yolo11.md
@@ -42,7 +42,7 @@ As shown in the comparison table, YOLO11 offers a range of models (n, s, m, l, x
 
 YOLO11 excels in applications requiring real-time object detection, such as:
 
-- **Autonomous systems**: [Self-driving cars](https://www.ultralytics.com/solutions/ai-in-self-driving), robotics.
+- **Autonomous systems**: [Self-driving cars](https://www.ultralytics.com/solutions/ai-in-automotive), robotics.
 - **Security and surveillance**: [Security alarm systems](https://docs.ultralytics.com/guides/security-alarm-system/), [theft prevention](https://www.ultralytics.com/blog/computer-vision-for-theft-prevention-enhancing-security).
 - **Industrial automation**: Quality control in [manufacturing](https://www.ultralytics.com/solutions/ai-in-manufacturing), [recycling efficiency](https://www.ultralytics.com/blog/recycling-efficiency-the-power-of-vision-ai-in-automated-sorting).
 - **Retail analytics**: [Inventory management](https://www.ultralytics.com/blog/ai-for-smarter-retail-inventory-management), [customer behavior analysis](https://www.ultralytics.com/blog/achieving-retail-efficiency-with-ai).

diff --git a/docs/en/compare/damo-yolo-vs-yolov10.md b/docs/en/compare/damo-yolo-vs-yolov10.md
@@ -91,7 +91,7 @@ YOLOv10 excels in both speed and accuracy:
 YOLOv10 is ideally suited for applications where real-time performance and efficiency are paramount:
 
 - **Edge AI Applications**: Deployment on edge devices like [Raspberry Pi](https://docs.ultralytics.com/guides/raspberry-pi/) and [NVIDIA Jetson](https://docs.ultralytics.com/guides/nvidia-jetson/) for real-time processing.
-- **High-Throughput Video Processing**: Applications requiring rapid analysis of video streams, such as [traffic monitoring](https://www.ultralytics.com/blog/ai-in-traffic-management-from-congestion-to-coordination/) and [queue management](https://docs.ultralytics.com/guides/queue-management/).
+- **High-Throughput Video Processing**: Applications requiring rapid analysis of video streams, such as [traffic monitoring](https://www.ultralytics.com/blog/ai-in-traffic-management-from-congestion-to-coordination) and [queue management](https://docs.ultralytics.com/guides/queue-management/).
 - **Mobile and Web Deployments**: Object detection in web and mobile applications where low latency is critical.
 
 [Learn more about YOLOv10](https://docs.ultralytics.com/models/yolov10/){ .md-button }

diff --git a/docs/en/compare/damo-yolo-vs-yolov5.md b/docs/en/compare/damo-yolo-vs-yolov5.md
@@ -91,7 +91,7 @@ Ultralytics YOLOv5, developed by Glenn Jocher and Ultralytics, is renowned for i
 
 - **Real-time Object Detection:** Ideal for applications requiring rapid detection, such as robotics, security systems, and autonomous vehicles.
 - **Edge Deployment:** Smaller YOLOv5 models are well-suited for deployment on resource-constrained edge devices like [Raspberry Pi](https://docs.ultralytics.com/guides/raspberry-pi/) and [NVIDIA Jetson](https://docs.ultralytics.com/guides/nvidia-jetson/).
-- **Industrial Automation:** Applications in manufacturing and quality control where speed and reliability are crucial, such as automating [recycling efficiency](https://www.ultralytics.com/blog/recycling-efficiency-the-power-of-vision-ai-in-automated-sorting/).
+- **Industrial Automation:** Applications in manufacturing and quality control where speed and reliability are crucial, such as automating [recycling efficiency](https://www.ultralytics.com/blog/recycling-efficiency-the-power-of-vision-ai-in-automated-sorting).
 
 **Authors and Information:**
 

diff --git a/docs/en/compare/damo-yolo-vs-yolov7.md b/docs/en/compare/damo-yolo-vs-yolov7.md
@@ -69,7 +69,7 @@ DAMO-YOLO offers various model sizes (tiny, small, medium, large), each providin
 
 DAMO-YOLO is well-suited for applications that require a balance of high accuracy and real-time performance:
 
-- **Autonomous Driving**: Object detection is crucial in [self-driving cars](https://www.ultralytics.com/solutions/ai-in-self-driving) for perceiving the environment in real-time.
+- **Autonomous Driving**: Object detection is crucial in [self-driving cars](https://www.ultralytics.com/solutions/ai-in-automotive) for perceiving the environment in real-time.
 - **Robotics**: For tasks like navigation and object manipulation in [robotics](https://www.ultralytics.com/glossary/robotics) applications, fast and accurate detection is essential.
 - **Surveillance Systems**: In [security systems](https://www.ultralytics.com/blog/security-alarm-system-projects-with-ultralytics-yolov8), real-time object detection is vital for timely threat detection.
 - **Industrial Inspection**: For [manufacturing quality control](https://www.ultralytics.com/solutions/ai-in-manufacturing), DAMO-YOLO can be used for fast defect detection.

diff --git a/docs/en/compare/damo-yolo-vs-yolov8.md b/docs/en/compare/damo-yolo-vs-yolov8.md
@@ -52,7 +52,7 @@ YOLOv8 is designed to strike a balance between speed and accuracy. Performance m
 YOLOv8 is ideally suited for applications demanding real-time object detection, such as:
 
 - **Real-time Analytics**: For [queue management](https://docs.ultralytics.com/guides/queue-management/), [traffic monitoring](https://www.ultralytics.com/blog/ultralytics-yolov8-for-smarter-parking-management-systems), and [security systems](https://www.ultralytics.com/blog/security-alarm-system-projects-with-ultralytics-yolov8).
-- **Autonomous Navigation**: In [robotics](https://www.ultralytics.com/glossary/robotics) and [self-driving cars](https://www.ultralytics.com/solutions/ai-in-self-driving).
+- **Autonomous Navigation**: In [robotics](https://www.ultralytics.com/glossary/robotics) and [self-driving cars](https://www.ultralytics.com/solutions/ai-in-automotive).
 - **Industrial Quality Control**: For [manufacturing quality control](https://www.ultralytics.com/solutions/ai-in-manufacturing) and [automation](https://www.ultralytics.com/blog/recycling-efficiency-the-power-of-vision-ai-in-automated-sorting).
 
 [Learn more about YOLOv8](https://docs.ultralytics.com/models/yolov8/){ .md-button }

diff --git a/docs/en/compare/efficientdet-vs-rtdetr.md b/docs/en/compare/efficientdet-vs-rtdetr.md
@@ -47,7 +47,7 @@ EfficientDet is well-suited for applications where efficiency and good accuracy
 
 - **Mobile Applications:** Deployment on smartphones and tablets where computational resources are limited. [Edge AI](https://www.ultralytics.com/glossary/edge-ai)
 - **Edge Devices:** Running object detection on edge devices like Raspberry Pi or NVIDIA Jetson for real-time processing. [NVIDIA Jetson](https://docs.ultralytics.com/guides/nvidia-jetson/)
-- **Real-time Systems:** Applications requiring fast inference, such as robotics and surveillance. [AI in Robotics](https://www.ultralytics.com/solutions/ai-in-self-driving)
+- **Real-time Systems:** Applications requiring fast inference, such as robotics and surveillance. [AI in Robotics](https://www.ultralytics.com/solutions/ai-in-automotive)
 - **Resource-Constrained Environments:** Scenarios where computational resources are limited or cost-sensitive.
 
 [Learn more about EfficientDet](https://github.com/google/automl/tree/master/efficientdet#readme){ .md-button }
@@ -85,7 +85,7 @@ RTDETRv2 models, particularly larger variants like RTDETRv2-x, achieve impressiv
 
 RTDETRv2 is ideally suited for applications where top-tier accuracy is paramount and sufficient computational resources are available:
 
-- **Autonomous Vehicles:** For reliable and precise environmental perception in self-driving systems. [AI in self-driving cars](https://www.ultralytics.com/solutions/ai-in-self-driving)
+- **Autonomous Vehicles:** For reliable and precise environmental perception in self-driving systems. [AI in self-driving cars](https://www.ultralytics.com/solutions/ai-in-automotive)
 - **Advanced Robotics:** Enabling robots to perform complex tasks requiring accurate object recognition and interaction. [From Algorithms to Automation: AI's Role in Robotics](https://www.ultralytics.com/blog/from-algorithms-to-automation-ais-role-in-robotics)
 - **High-Precision Medical Imaging:** For critical applications in medical diagnostics where accuracy is essential. [AI in Healthcare](https://www.ultralytics.com/solutions/ai-in-healthcare)
 - **Detailed Surveillance Systems:** Scenarios requiring high accuracy in monitoring and analysis. [Shattering the Surveillance Status Quo with Vision AI](https://www.ultralytics.com/blog/shattering-the-surveillance-status-quo-with-vision-ai)

diff --git a/docs/en/compare/efficientdet-vs-yolo11.md b/docs/en/compare/efficientdet-vs-yolo11.md
@@ -49,7 +49,7 @@ YOLO11's speed and accuracy make it suitable for numerous real-time applications
 - **Robotics**: Enabling navigation and object interaction in dynamic settings.
 - **Security Systems**: Enhancing [security alarm systems](https://docs.ultralytics.com/guides/security-alarm-system/) for intrusion detection.
 - **Industrial Automation**: Supporting quality control and defect detection in manufacturing.
-- **Autonomous Vehicles**: Contributing to real-time perception in [self-driving cars](https://www.ultralytics.com/solutions/ai-in-self-driving).
+- **Autonomous Vehicles**: Contributing to real-time perception in [self-driving cars](https://www.ultralytics.com/solutions/ai-in-automotive).
 
 **Strengths:**