Add https://youtu.be/pWYiene9lYw & https://youtu.be/Unt4Lfid7aY to docs (#13380)
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
parent
11a2ed1e83
commit
32a9bc557e
2 changed files with 22 additions and 0 deletions
|
|
@ -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.
|
||||
|
||||
<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?
|
||||
|
||||
* **User-Friendly Interface:** Gradio offers a straightforward platform for users to upload images and visualize detection results without any coding requirement.
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue