From 414cc5c0f525940ff57997c80164a7676abf0289 Mon Sep 17 00:00:00 2001
From: Muhammad Rizwan Munawar <muhammadrizwanmunawar123@gmail.com>
Date: Wed, 19 Jun 2024 16:21:03 +0500
Subject: [PATCH] https://youtu.be/biIW5Z6GYl0 to docs (#13797)

---
 docs/en/datasets/detect/african-wildlife.md | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/docs/en/datasets/detect/african-wildlife.md b/docs/en/datasets/detect/african-wildlife.md
index 121cbbb5..506e668b 100644
--- a/docs/en/datasets/detect/african-wildlife.md
+++ b/docs/en/datasets/detect/african-wildlife.md
@@ -8,6 +8,17 @@ keywords: African Wildlife Dataset, South African animals, object detection, com
 
 This dataset showcases four common animal classes typically found in South African nature reserves. It includes images of African wildlife such as buffalo, elephant, rhino, and zebra, providing valuable insights into their characteristics. Essential for training computer vision algorithms, this dataset aids in identifying animals in various habitats, from zoos to forests, and supports wildlife research.
 
+<p align="center">
+  <br>
+  <iframe loading="lazy" width="720" height="405" src="https://youtu.be/biIW5Z6GYl0"
+    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> African Wildlife Animals Detection using Ultralytics YOLOv8
+</p>
+
 ## Dataset Structure
 
 The African wildlife objects detection dataset is split into three subsets: