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Fix display of links in yolov5 docs (#16973)

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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Jan Knobloch 2024-10-17 02:49:27 +02:00 • committed by GitHub
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docs/en/yolov5/index.md
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@ -22,11 +22,11 @@ keywords: YOLOv5, Ultralytics, object detection, computer vision, deep learning,
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Welcome to the Ultralytics' <a href="https://github.com/ultralytics/yolov5">YOLOv5</a>🚀 Documentation! YOLOv5, the fifth iteration of the revolutionary "You Only Look Once" [object detection](https://www.ultralytics.com/glossary/object-detection) model, is designed to deliver high-speed, high-accuracy results in real-time.
Welcome to the Ultralytics' <a href="https://github.com/ultralytics/yolov5">YOLOv5</a>🚀 Documentation! YOLOv5, the fifth iteration of the revolutionary "You Only Look Once" <a href="https://www.ultralytics.com/glossary/object-detection">object detection</a> model, is designed to deliver high-speed, high-accuracy results in real-time.
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Built on PyTorch, this powerful [deep learning](https://www.ultralytics.com/glossary/deep-learning-dl) framework has garnered immense popularity for its versatility, ease of use, and high performance. Our documentation guides you through the installation process, explains the architectural nuances of the model, showcases various use-cases, and provides a series of detailed tutorials. These resources will help you harness the full potential of YOLOv5 for your [computer vision](https://www.ultralytics.com/glossary/computer-vision-cv) projects. Let's get started!
Built on PyTorch, this powerful <a href="https://www.ultralytics.com/glossary/deep-learning-dl">deep learning</a> framework has garnered immense popularity for its versatility, ease of use, and high performance. Our documentation guides you through the installation process, explains the architectural nuances of the model, showcases various use-cases, and provides a series of detailed tutorials. These resources will help you harness the full potential of YOLOv5 for your <a href="https://www.ultralytics.com/glossary/computer-vision-cv">computer vision</a> projects. Let's get started!
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