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<oembed><version>1.0</version><provider_name>Glosarix</provider_name><provider_url>https://glosarix.com/en/</provider_url><author_name>Team Glosarix</author_name><author_url>https://glosarix.com/en/author/adm_glosarix/</author_url><title>Segmentation GAN - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="SZRuWA8PJq"&gt;&lt;a href="https://glosarix.com/en/glossary/segmentation-gan-en/"&gt;Segmentation GAN&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/segmentation-gan-en/embed/#?secret=SZRuWA8PJq" width="600" height="338" title="&#x201C;Segmentation GAN&#x201D; &#x2014; Glosarix" data-secret="SZRuWA8PJq" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Description: Segmentation GANs are a variant of Generative Adversarial Networks (GANs) that specialize in generating segmented images, meaning images where different regions have been classified and labeled according to their content. This type of network consists of two main components: a generator and a discriminator. The generator creates segmented images from random noise or input [&hellip;]</description></oembed>
