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Add https://youtu.be/pWYiene9lYw & https://youtu.be/Unt4Lfid7aY to docs (#13380)

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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2024-06-08 21:11:05 +05:00 • committed by GitHub
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11
docs/en/hub/models.md
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@ -76,6 +76,17 @@ By default, your model will use a pre-trained model (trained on the [COCO](https
You can easily change the most common model configuration options (such as the number of epochs) but you can also use the **Custom** option to access all [Train Settings](https://docs.ultralytics.com/modes/train/#train-settings) relevant to [Ultralytics HUB](https://bit.ly/ultralytics_hub). You can easily change the most common model configuration options (such as the number of epochs) but you can also use the **Custom** option to access all [Train Settings](https://docs.ultralytics.com/modes/train/#train-settings) relevant to [Ultralytics HUB](https://bit.ly/ultralytics_hub).
<p align="center">
<br>
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/Unt4Lfid7aY"
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> How to Configure Ultralytics YOLOv8 Training Parameters in Ultralytics HUB
</p>
Alternatively, you start training from one of your previously trained models by clicking on the **Custom** tab. Alternatively, you start training from one of your previously trained models by clicking on the **Custom** tab.
![Ultralytics HUB screenshot of the Train Model dialog with an arrow pointing to the Custom tab](https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/models/hub_train_model_6.jpg) ![Ultralytics HUB screenshot of the Train Model dialog with an arrow pointing to the Custom tab](https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/models/hub_train_model_6.jpg)

11
docs/en/integrations/gradio.md
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@ -10,6 +10,17 @@ keywords: Ultralytics, YOLOv8, Gradio, object detection, interactive, real-time,
This Gradio interface provides an easy and interactive way to perform object detection using the [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics/) model. Users can upload images and adjust parameters like confidence threshold and intersection-over-union (IoU) threshold to get real-time detection results. This Gradio interface provides an easy and interactive way to perform object detection using the [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics/) model. Users can upload images and adjust parameters like confidence threshold and intersection-over-union (IoU) threshold to get real-time detection results.
<p align="center">
<br>
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/pWYiene9lYw"
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> Gradio Integration with Ultralytics YOLOv8
</p>
## Why Use Gradio for Object Detection? ## Why Use Gradio for Object Detection?
* **User-Friendly Interface:** Gradio offers a straightforward platform for users to upload images and visualize detection results without any coding requirement. * **User-Friendly Interface:** Gradio offers a straightforward platform for users to upload images and visualize detection results without any coding requirement.