<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Iou on Aayush Bajaj's Augmenting Infrastructure</title><link>https://abaj.ai/tags/iou/</link><description>Recent content in Iou on Aayush Bajaj's Augmenting Infrastructure</description><generator>Hugo</generator><language>en</language><copyright>© 2026 Aayush Bajaj</copyright><lastBuildDate>Thu, 12 Nov 2026 02:04:46 +1100</lastBuildDate><atom:link href="https://abaj.ai/tags/iou/index.xml" rel="self" type="application/rss+xml"/><item><title>Object Detection</title><link>https://abaj.ai/wiki/computer-vision/detection/</link><pubDate>Wed, 11 Nov 2026 21:00:00 +1100</pubDate><guid>https://abaj.ai/wiki/computer-vision/detection/</guid><description>&lt;p>A classifier answers &amp;ldquo;what is in this image?&amp;rdquo;. A detector answers two questions at once: &lt;em>what&lt;/em> objects are present, and &lt;em>where&lt;/em> each one is, as a box drawn tightly around it. The output is no longer one label but a list of (class, box) pairs whose length is not known in advance.&lt;span class="margin-note" data-note="Distils COMP9517 Section 8b (object detection) and the detection metrics of Section 8a. The from-scratch detector and the portrait figures come from the course notes&amp;#39; own seeded scripts.">
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