Add https://youtu.be/eX5ad6udQ9Q to docs (#14077)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

docs/en/datasets/classify/fashion-mnist.md

@@ -8,6 +8,17 @@ keywords: Fashion-MNIST, image classification, Zalando dataset, machine learning
 
 The [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset is a database of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. Fashion-MNIST is intended to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms.
 
+<p align="center">
+  <br>
+  <iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/eX5ad6udQ9Q"
+    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 do Image Classification on Fashion MNIST Dataset using Ultralytics YOLOv8
+</p>
+
 ## Key Features
 
 - Fashion-MNIST contains 60,000 training images and 10,000 testing images of Zalando's article images.