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ultralytics 8.0.223 add YOLOv8-Ghost P2 and P6 variants (#6826)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: Burhan <62214284+Burhan-Q@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Muhammad Rizwan Munawar <chr043416@gmail.com>
Co-authored-by: Awsome <1579093407@qq.com>
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Glenn Jocher 2023-12-07 01:01:02 +01:00 • committed by GitHub
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11
docs/en/models/yolov8.md
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@ -12,6 +12,17 @@ YOLOv8 is the latest iteration in the YOLO series of real-time object detectors,
![Ultralytics YOLOv8](https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/yolo-comparison-plots.png)
<p align="center">
<br>
<iframe width="720" height="405" src="https://www.youtube.com/embed/Na0HvJ4hkk0"
title="YouTube video player" frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
allowfullscreen>
</iframe>
<br>
<strong>Watch:</strong> Ultralytics YOLOv8 Model Overview
</p>
## Key Features
- **Advanced Backbone and Neck Architectures:** YOLOv8 employs state-of-the-art backbone and neck architectures, resulting in improved feature extraction and object detection performance.