<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Image-Similarity on RawCull</title><link>https://techrawcull.netlify.app/tags/image-similarity/</link><description>Recent content in Image-Similarity on RawCull</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 12 Aug 2026 15:22:20 +0200</lastBuildDate><atom:link href="https://techrawcull.netlify.app/tags/image-similarity/index.xml" rel="self" type="application/rss+xml"/><item><title>CLIP Model Evaluation Results</title><link>https://techrawcull.netlify.app/docs/ai/evaluation/</link><pubDate>Wed, 12 Aug 2026 00:00:00 +0000</pubDate><guid>https://techrawcull.netlify.app/docs/ai/evaluation/</guid><description>&lt;h1 id="clip-model-evaluation-results"&gt;CLIP Model Evaluation Results&lt;a class="td-heading-self-link" href="#clip-model-evaluation-results" aria-label="Heading self-link"&gt;&lt;/a&gt;&lt;/h1&gt;
&lt;p&gt;&lt;strong&gt;Report date:&lt;/strong&gt; 2026-08-12&lt;/p&gt;
&lt;p&gt;This report compares the product-behavior results produced by RawCullFB for:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;OpenAI CLIP ViT-B/32 at 224 × 224; and&lt;/li&gt;
&lt;li&gt;OpenCLIP DataComp ViT-B/32-256 using the &lt;code&gt;datacomp_s34b_b86k&lt;/code&gt;
checkpoint.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The runs follow the product-behavior portion of
&lt;a href="../evaluateclipmodels/"&gt;Evaluating CLIP Models&lt;/a&gt;. They cover the canonical 77
semantic queries and a complete all-pairs image-similarity pass over 453 indexed
images.&lt;/p&gt;
&lt;p&gt;The reports show that both integrations completed cleanly, neither model shows
semantic collapse, and both produce coherent image-neighbourhood structures.
DataComp is modestly faster and more consistent across paraphrases. Those are
promising sanity-check results, but they are not labeled accuracy metrics.&lt;/p&gt;</description></item></channel></rss>