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Optimize Docs images (#15900)

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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2024-08-30 05:52:10 +05:00 • committed by GitHub
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docs/en/integrations/dvc.md
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@ -13,7 +13,7 @@ Integrating DVCLive with [Ultralytics YOLOv8](https://ultralytics.com) transform
## DVCLive
<p align="center">
<img width="640" src="https://dvc.org/static/6daeb07124bab895bea3f4930e3116e9/aa619/dvclive-studio.webp" alt="DVCLive Overview">
<img width="640" src="https://github.com/ultralytics/docs/releases/download/0/dvclive-overview.avif" alt="DVCLive Overview">
</p>
[DVCLive](https://dvc.org/doc/dvclive), developed by DVC, is an innovative open-source tool for experiment tracking in machine learning. Integrating seamlessly with Git and DVC, it automates the logging of crucial experiment data like model parameters and training metrics. Designed for simplicity, DVCLive enables effortless comparison and analysis of multiple runs, enhancing the efficiency of machine learning projects with intuitive data visualization and analysis tools.
@ -138,7 +138,7 @@ dvc plots diff $(dvc exp list --names-only)
After executing this command, DVC generates plots comparing the metrics across different experiments, which are saved as HTML files. Below is an example image illustrating typical plots generated by this process. The image showcases various graphs, including those representing mAP, recall, precision, loss values, and more, providing a visual overview of key performance metrics:
<p align="center">
<img width="640" src="https://dvc.org/yolo-studio-plots-0f1243f5a0c5ea940a080478de267cba.gif" alt="DVCLive Plots">
<img width="640" src="https://github.com/ultralytics/docs/releases/download/0/dvclive-comparative-plots.avif" alt="DVCLive Plots">
</p>
### Displaying DVC Plots