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Keywords {🔍}

yolo, ultralytics, 快速入门, model, 한국어, 日本語, русский, deutsch, français, español, português, türkçe, tiếng, việt, العربية, cli, english, 简体中文, italiano, 数据集, 解决方案, 从哪里开始, yolo简史, 许可证ultralytics, 如何获得许可证, 物体检测的演变, 常见问题, 什么是ultralytics, 它如何改进物体检测, 如何开始yolo, 安装和设置, 如何在数据集上训练自定义yolo, 有哪些许可选项, 如何用于实时物体跟踪, api, 了解更多, yolov于, agpl, pip, task, python, import, load, pretrained, yoloyolonpt, start, video, 跳至内容, ultralyticsultralytics, 参考资料,

Topics {✒️}

tiếng việt 한국어 日本語 русский deutsch français español português türkçe pre-trained yolo model 简史 yolo model = yolo train yaml yolo yolo（ webcam input model track custom dataset model live video streams 如需详细了解，请查看我们的 /dataset /video pgi 和广义高效层聚合网络 gelan nms sota choose versions yolo11n pt data= path/ epochs=100 imgsz=640 培训模型 source= mp4

Schema {🗺️}

["Article","FAQPage"]:
      context:https://schema.org
      headline:Home
      image:
         https://github.com/ultralytics/docs/releases/download/0/ultralytics-yolov8-banner.avif
      datePublished:2023-11-12 02:49:37 +0100
      dateModified:2025-06-22 19:21:22 +0100
      author:
            type:Organization
            name:Ultralytics
            url:https://ultralytics.com/
      abstract:Discover Ultralytics YOLO - the latest in real-time object detection and image segmentation. Learn its features and maximize its potential in your projects.
      mainEntity:
            type:Question
            name:What is Ultralytics YOLO and how does it improve object detection?
            acceptedAnswer:
               type:Answer
               text:Ultralytics YOLO 是广受好评的YOLO （You Only Look Once）系列的最新进展，用于实时对象检测和图像分割。YOLO 支持各种视觉人工智能任务，如检测、分割、姿态估计、跟踪和分类。其先进的架构确保了卓越的速度和准确性，使其适用于各种应用，包括边缘设备和云 API。
            type:Question
            name:How can I get started with YOLO installation and setup?
            acceptedAnswer:
               type:Answer
               text:开始使用YOLO 非常简单快捷。你可以使用 pip 安装Ultralytics 软件包，几分钟内就能开始运行。下面是一个基本的安装命令：如需全面的分步指南，请访问我们的快速入门页面。该资源将在安装说明、初始设置和运行第一个模型方面为您提供帮助。
            type:Question
            name:How can I train a custom YOLO model on my dataset?
            acceptedAnswer:
               type:Answer
               text:在数据集上训练自定义YOLO 模型需要几个详细步骤：下面是物体检测任务的示例代码：如需详细说明，请查看我们的 "训练模型 "指南，其中包括优化训练过程的示例和技巧。
            type:Question
            name:What are the licensing options available for Ultralytics YOLO?
            acceptedAnswer:
               type:Answer
               text:Ultralytics YOLO 提供两种许可选项：有关详细信息，请访问我们的许可页面。
            type:Question
            name:How can Ultralytics YOLO be used for real-time object tracking?
            acceptedAnswer:
               type:Answer
               text:Ultralytics YOLO 支持高效、可定制的多对象跟踪。要使用跟踪功能，可以使用yolo track 命令，如下图所示：有关设置和运行对象跟踪的详细指南，请查看我们的跟踪模式文档，其中介绍了实时场景中的配置和实际应用。
Organization:
      name:Ultralytics
      url:https://ultralytics.com/
Question:
      name:What is Ultralytics YOLO and how does it improve object detection?
      acceptedAnswer:
         type:Answer
         text:Ultralytics YOLO 是广受好评的YOLO （You Only Look Once）系列的最新进展，用于实时对象检测和图像分割。YOLO 支持各种视觉人工智能任务，如检测、分割、姿态估计、跟踪和分类。其先进的架构确保了卓越的速度和准确性，使其适用于各种应用，包括边缘设备和云 API。
      name:How can I get started with YOLO installation and setup?
      acceptedAnswer:
         type:Answer
         text:开始使用YOLO 非常简单快捷。你可以使用 pip 安装Ultralytics 软件包，几分钟内就能开始运行。下面是一个基本的安装命令：如需全面的分步指南，请访问我们的快速入门页面。该资源将在安装说明、初始设置和运行第一个模型方面为您提供帮助。
      name:How can I train a custom YOLO model on my dataset?
      acceptedAnswer:
         type:Answer
         text:在数据集上训练自定义YOLO 模型需要几个详细步骤：下面是物体检测任务的示例代码：如需详细说明，请查看我们的 "训练模型 "指南，其中包括优化训练过程的示例和技巧。
      name:What are the licensing options available for Ultralytics YOLO?
      acceptedAnswer:
         type:Answer
         text:Ultralytics YOLO 提供两种许可选项：有关详细信息，请访问我们的许可页面。
      name:How can Ultralytics YOLO be used for real-time object tracking?
      acceptedAnswer:
         type:Answer
         text:Ultralytics YOLO 支持高效、可定制的多对象跟踪。要使用跟踪功能，可以使用yolo track 命令，如下图所示：有关设置和运行对象跟踪的详细指南，请查看我们的跟踪模式文档，其中介绍了实时场景中的配置和实际应用。
Answer:
      text:Ultralytics YOLO 是广受好评的YOLO （You Only Look Once）系列的最新进展，用于实时对象检测和图像分割。YOLO 支持各种视觉人工智能任务，如检测、分割、姿态估计、跟踪和分类。其先进的架构确保了卓越的速度和准确性，使其适用于各种应用，包括边缘设备和云 API。
      text:开始使用YOLO 非常简单快捷。你可以使用 pip 安装Ultralytics 软件包，几分钟内就能开始运行。下面是一个基本的安装命令：如需全面的分步指南，请访问我们的快速入门页面。该资源将在安装说明、初始设置和运行第一个模型方面为您提供帮助。
      text:在数据集上训练自定义YOLO 模型需要几个详细步骤：下面是物体检测任务的示例代码：如需详细说明，请查看我们的 "训练模型 "指南，其中包括优化训练过程的示例和技巧。
      text:Ultralytics YOLO 提供两种许可选项：有关详细信息，请访问我们的许可页面。
      text:Ultralytics YOLO 支持高效、可定制的多对象跟踪。要使用跟踪功能，可以使用yolo track 命令，如下图所示：有关设置和运行对象跟踪的详细指南，请查看我们的跟踪模式文档，其中介绍了实时场景中的配置和实际应用。

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