<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Dataset | Amit Pant</title><link>https://amitpant.netlify.app/tags/dataset/</link><atom:link href="https://amitpant.netlify.app/tags/dataset/index.xml" rel="self" type="application/rss+xml"/><description>Dataset</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 20 May 2023 00:00:00 +0000</lastBuildDate><image><url>https://amitpant.netlify.app/media/icon_hu7729264130191091259.png</url><title>Dataset</title><link>https://amitpant.netlify.app/tags/dataset/</link></image><item><title>Nepali Celeb Localized Face Dataset</title><link>https://amitpant.netlify.app/project/face/</link><pubDate>Sat, 20 May 2023 00:00:00 +0000</pubDate><guid>https://amitpant.netlify.app/project/face/</guid><description>&lt;p>The dataset contains images of 49 famous individuals from Nepal, including actors, actresses, singers, and social figures. The individuals vary in age, gender, and profession.&lt;/p>
&lt;p>Potential uses for this dataset include face recognition, face detection, emotion recognition, and training machine learning models related to facial analysis.&lt;/p>
&lt;p>For more details and to access the dataset, visit
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&lt;h2 id="procedure">Procedure&lt;/h2>
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&lt;li>Images of the actors were collected from the internet using a Python script.&lt;/li>
&lt;li>The &lt;code>bing_image_downloader&lt;/code> package was used to download images.&lt;/li>
&lt;li>Images were manually verified for quality and unsuitable ones were removed.&lt;/li>
&lt;li>OpenCV library was used to detect faces and crop images to extract only the face region.&lt;/li>
&lt;li>The cropped face images were resized to a standard size.&lt;/li>
&lt;li>Processed images were saved in a separate directory with appropriate naming convention.&lt;/li>
&lt;/ol>
&lt;p>If you&amp;rsquo;re interested in the technical details, you can check out the dataset on Kaggle and review the Python scripts used for data collection and preprocessing.&lt;/p>
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