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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/tf-graphdef.md
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@ -11,7 +11,7 @@ When you are deploying cutting-edge computer vision models, like YOLOv8, in diff
In this guide, we'll walk you step by step through how to export your [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics) models to the TF GraphDef model format. By converting your model, you can streamline deployment and use YOLOv8's computer vision capabilities in a broader range of applications and platforms.
<p align="center">
<img width="640" src="https://github.com/RizwanMunawar/RizwanMunawar/assets/62513924/2d793b51-19f2-49e0-bf4b-5208f2eb5993" alt="TensorFlow GraphDef">
<img width="640" src="https://github.com/ultralytics/docs/releases/download/0/tensorflow-graphdef.avif" alt="TensorFlow GraphDef">
</p>
## Why Should You Export to TF GraphDef?