<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Scoring on RawCull</title><link>https://techrawcull.netlify.app/tags/scoring/</link><description>Recent content in Scoring on RawCull</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 30 Jul 2026 07:59:27 +0200</lastBuildDate><atom:link href="https://techrawcull.netlify.app/tags/scoring/index.xml" rel="self" type="application/rss+xml"/><item><title>Detailed Sharpness Scoring</title><link>https://techrawcull.netlify.app/docs/detailsharpnessscoring/</link><pubDate>Wed, 15 Jul 2026 00:00:00 +0000</pubDate><guid>https://techrawcull.netlify.app/docs/detailsharpnessscoring/</guid><description>&lt;h1 id="detailed-sharpness-scoring"&gt;Detailed Sharpness Scoring&lt;a class="td-heading-self-link" href="#detailed-sharpness-scoring" aria-label="Heading self-link"&gt;&lt;/a&gt;&lt;/h1&gt;
&lt;p&gt;This page explains, step by step, where RawCull computes sharpness scores, what code is involved, what the score means, and which factors can move the result up or down.&lt;/p&gt;
&lt;p&gt;The short version: RawCull does not ask &amp;ldquo;is the whole image contrasty?&amp;rdquo;. It asks &amp;ldquo;how much reliable edge detail exists in the useful part of the image, especially around the subject or the camera AF point?&amp;rdquo;. The score is then used for sharpness sorting, burst ranking, saved scoring results, and inspection badges.&lt;/p&gt;</description></item></channel></rss>