DOCS . ULTRALYTICS . COM {}

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We are analyzing https://docs.ultralytics.com/quickstart/.

Title:
Install Ultralytics - Ultralytics YOLO Docs
Description:
Learn how to install Ultralytics using pip, conda, or Docker. Follow our step-by-step guide for a seamless setup of YOLO with thorough instructions.
Website Age:
11 years and 4 months (reg. 2014-02-13).

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Games
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Custom-built

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🌟 Strong Traffic: 100k - 200k visitors per month

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Keywords {🔍}

ultralytics, install, yolo, settings, python, pip, cli, docker, model, package, option, true, bool, conda, run, guide, dependencies, hub, train, predict, clone, repository, method, quickstart, installation, development, latest, version, pytorch, imgsz, str, configuration, export, image, methods, github, update, interface, commands, code, conf, object, directory, experiment, tasks, custom, git, ensure, commandline, file,

Topics {✒️}

docker quickstart guide conda quickstart guide simple single-line commands solutions opencv-python-headless yolo predict model=yolo11n tasks install ultralytics core usage examples /datasets' datasets headless opencv ultralytics package core pip install git+https ultralytics hub api_key ultralytics command-line interface customization detect segment classify pose obb track benchmark table git command-line tool enabling single-line commands replacing opencv-python yolo train data=coco8 full configuration guide version control hub ultralytics yolo cli user configuration directory yolo solution model=yolo11n install ultralytics yolo ensure optimal configuration yolo python interface pip install ultralytics conda-forge ultralytics custom installation methods docker hub ultralytics pip version install ultralytics directly command-line interface default values settings run ultralytics yolo ultralytics pip package ultralytics settings version requires careful management ultralytics library includes

Questions {❓}

Can I install Ultralytics YOLO using conda?
How do I clone the Ultralytics repository for development?
How do I install Ultralytics using pip?
What are the advantages of using Docker to run Ultralytics YOLO?
Why should I use Ultralytics YOLO CLI?

Schema {🗺️}

["Article","FAQPage"]:
      context:https://schema.org
      headline:Quickstart
      image:
         https://img.shields.io/pypi/pyversions/ultralytics?logo=python&logoColor=gold
      datePublished:2023-11-12 02:49:37 +0100
      dateModified:2025-04-30 12:11:15 +0200
      author:
            type:Organization
            name:Ultralytics
            url:https://ultralytics.com/
      abstract:Learn how to install Ultralytics using pip, conda, or Docker. Follow our step-by-step guide for a seamless setup of YOLO with thorough instructions.
      mainEntity:
            type:Question
            name:How do I install Ultralytics using pip?
            acceptedAnswer:
               type:Answer
               text:Install Ultralytics with pip using: This installs the latest stable release of the ultralytics package from PyPI. To install the development version directly from GitHub: Ensure the Git command-line tool is installed on your system.
            type:Question
            name:Can I install Ultralytics YOLO using conda?
            acceptedAnswer:
               type:Answer
               text:Yes, install Ultralytics YOLO using conda with: This method is a great alternative to pip, ensuring compatibility with other packages. For CUDA environments, install ultralytics, pytorch, and pytorch-cuda together to resolve conflicts: For more instructions, see the Conda quickstart guide.
            type:Question
            name:What are the advantages of using Docker to run Ultralytics YOLO?
            acceptedAnswer:
               type:Answer
               text:Docker provides an isolated, consistent environment for Ultralytics YOLO, ensuring smooth performance across systems and avoiding local installation complexities. Official Docker images are available on Docker Hub, with variants for GPU, CPU, ARM64, NVIDIA Jetson, and Conda. To pull and run the latest image: For detailed Docker instructions, see the Docker quickstart guide.
            type:Question
            name:How do I clone the Ultralytics repository for development?
            acceptedAnswer:
               type:Answer
               text:Clone the Ultralytics repository and set up a development environment with: This allows contributions to the project or experimentation with the latest source code. For details, visit the Ultralytics GitHub repository.
            type:Question
            name:Why should I use Ultralytics YOLO CLI?
            acceptedAnswer:
               type:Answer
               text:The Ultralytics YOLO CLI simplifies running object detection tasks without Python code, enabling single-line commands for training, validation, and prediction directly from your terminal. The basic syntax is: For example, to train a detection model: Explore more commands and usage examples in the full CLI Guide.
Organization:
      name:Ultralytics
      url:https://ultralytics.com/
Question:
      name:How do I install Ultralytics using pip?
      acceptedAnswer:
         type:Answer
         text:Install Ultralytics with pip using: This installs the latest stable release of the ultralytics package from PyPI. To install the development version directly from GitHub: Ensure the Git command-line tool is installed on your system.
      name:Can I install Ultralytics YOLO using conda?
      acceptedAnswer:
         type:Answer
         text:Yes, install Ultralytics YOLO using conda with: This method is a great alternative to pip, ensuring compatibility with other packages. For CUDA environments, install ultralytics, pytorch, and pytorch-cuda together to resolve conflicts: For more instructions, see the Conda quickstart guide.
      name:What are the advantages of using Docker to run Ultralytics YOLO?
      acceptedAnswer:
         type:Answer
         text:Docker provides an isolated, consistent environment for Ultralytics YOLO, ensuring smooth performance across systems and avoiding local installation complexities. Official Docker images are available on Docker Hub, with variants for GPU, CPU, ARM64, NVIDIA Jetson, and Conda. To pull and run the latest image: For detailed Docker instructions, see the Docker quickstart guide.
      name:How do I clone the Ultralytics repository for development?
      acceptedAnswer:
         type:Answer
         text:Clone the Ultralytics repository and set up a development environment with: This allows contributions to the project or experimentation with the latest source code. For details, visit the Ultralytics GitHub repository.
      name:Why should I use Ultralytics YOLO CLI?
      acceptedAnswer:
         type:Answer
         text:The Ultralytics YOLO CLI simplifies running object detection tasks without Python code, enabling single-line commands for training, validation, and prediction directly from your terminal. The basic syntax is: For example, to train a detection model: Explore more commands and usage examples in the full CLI Guide.
Answer:
      text:Install Ultralytics with pip using: This installs the latest stable release of the ultralytics package from PyPI. To install the development version directly from GitHub: Ensure the Git command-line tool is installed on your system.
      text:Yes, install Ultralytics YOLO using conda with: This method is a great alternative to pip, ensuring compatibility with other packages. For CUDA environments, install ultralytics, pytorch, and pytorch-cuda together to resolve conflicts: For more instructions, see the Conda quickstart guide.
      text:Docker provides an isolated, consistent environment for Ultralytics YOLO, ensuring smooth performance across systems and avoiding local installation complexities. Official Docker images are available on Docker Hub, with variants for GPU, CPU, ARM64, NVIDIA Jetson, and Conda. To pull and run the latest image: For detailed Docker instructions, see the Docker quickstart guide.
      text:Clone the Ultralytics repository and set up a development environment with: This allows contributions to the project or experimentation with the latest source code. For details, visit the Ultralytics GitHub repository.
      text:The Ultralytics YOLO CLI simplifies running object detection tasks without Python code, enabling single-line commands for training, validation, and prediction directly from your terminal. The basic syntax is: For example, to train a detection model: Explore more commands and usage examples in the full CLI Guide.

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External Links {🔗}(35)

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