<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data Augmentation on Mi&amp;Bee Blog</title><link>/en/tags/data-augmentation/</link><description>Recent content in Data Augmentation on Mi&amp;Bee Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>蓝宝石的傻话</managingEditor><lastBuildDate>Mon, 11 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="/en/tags/data-augmentation/rss.xml" rel="self" type="application/rss+xml"/><item><title>YOLO Dataset Preparation: Annotation Tools and Format Conversion</title><link>/en/posts/aihelper/yolo-dataset-preparation/</link><pubDate>Mon, 11 May 2026 00:00:00 +0000</pubDate><guid>/en/posts/aihelper/yolo-dataset-preparation/</guid><description>&lt;h2 id="data-annotation-tools-usage"&gt;Data Annotation Tools Usage&lt;/h2&gt;
&lt;h3 id="labelimg-installation-and-usage"&gt;LabelImg Installation and Usage&lt;/h3&gt;
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&lt;/div&gt;&lt;p&gt;&lt;strong&gt;Annotation Process:&lt;/strong&gt;&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Open Dir → Select image folder&lt;/li&gt;
&lt;li&gt;Change Save Dir → Select annotation save folder&lt;/li&gt;
&lt;li&gt;Select YOLO format&lt;/li&gt;
&lt;li&gt;Create RectBox → Draw bounding box → Enter class name&lt;/li&gt;
&lt;li&gt;Save&lt;/li&gt;
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&lt;h3 id="labelme-installation-and-usage"&gt;LabelMe Installation and Usage&lt;/h3&gt;
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&lt;/div&gt;&lt;h3 id="cvat-self-hosted-annotation-platform"&gt;CVAT Self-Hosted Annotation Platform&lt;/h3&gt;
&lt;p&gt;CVAT (Computer Vision Annotation Tool) is an open-source annotation platform by Intel, supporting Docker self-hosted deployment for team collaboration and large-scale annotation projects.&lt;/p&gt;</description></item></channel></rss>