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

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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2024-06-29 20:36:00 +05:00 committed by GitHub
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docs/en/datasets/classify/fashion-mnist.md
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@ -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.