Fix Prettier docs issues (#17798)
Signed-off-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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@ -151,4 +151,5 @@ YOLOv7 offers several key features that revolutionize real-time object detection
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- **Dynamic Label Assignment**: Uses a coarse-to-fine lead guided method to assign dynamic targets for outputs across different branches, improving accuracy.
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- **Extended and Compound Scaling**: Efficiently utilizes parameters and computation to scale the model for various real-time applications.
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- **Efficiency**: Reduces parameter count by 40% and computation by 50% compared to other state-of-the-art models while achieving faster inference speeds.
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For further details on these features, see the [YOLOv7 Overview](#overview) section.
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For further details on these features, see the [YOLOv7 Overview](#overview) section.
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