<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Fri, 10 Apr 2026 13:46:01 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/objectdetection/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[YOLO  algorithm ]]></title><description><![CDATA[You only look once (YOLO) is a state-of-the-art, real-time object detection system. On a Titan X it processes images at 40-90 FPS and has a mAP on VOC 2007 of 78.6% and a mAP of 48.1% on COCO test-dev.]]></description><link>http://direct.ecency.com/yolo/@darekry/xv2zi6pk</link><guid isPermaLink="true">http://direct.ecency.com/yolo/@darekry/xv2zi6pk</guid><category><![CDATA[yolo]]></category><dc:creator><![CDATA[darekry]]></dc:creator><pubDate>Fri, 26 Jan 2018 19:10:36 GMT</pubDate><enclosure url="https://images.ecency.com/p/46aP2QbqUqBqwzwxM6L1P6uLNceBDDCM9D4jMQLBwUmKEgGGzqhczvPAfPLBB1n63mUxs3eNoY162B1gRsUJrngsdePx?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[object detection]]></title><description><![CDATA[Background subtraction is a major preprocessing steps in many vision based applications. For example, consider the cases like visitor counter where a static camera takes the number of visitors entering]]></description><link>http://direct.ecency.com/machinelearning/@aquib/urqljv42</link><guid isPermaLink="true">http://direct.ecency.com/machinelearning/@aquib/urqljv42</guid><category><![CDATA[machinelearning]]></category><dc:creator><![CDATA[aquib]]></dc:creator><pubDate>Wed, 17 Jan 2018 16:08:24 GMT</pubDate><enclosure url="https://images.ecency.com/p/46aP2QbqUqBqwzwxM6L1P6uLNceBDDCM8HVoKu4CRjqzUeP8C5z1McNSqHK1tWNuzPnHxnAudHMtnttkPXvbrCiptcHW?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>