<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/42745719d09a4ce197b57f226d4a0ef8&quot; frameborder=&quot;0&quot; width=&quot;1664&quot; height=&quot;1248&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1248</height><width>1664</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1248</thumbnail_height><thumbnail_width>1664</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/42745719d09a4ce197b57f226d4a0ef8-6acbf36f30acb4c3.gif</thumbnail_url><duration>70.9633</duration><title>Image Classifier Demo with Teachable Machine</title><description>In this demo for the image classifier using Teachable Machine, I showcase how it identifies objects, starting with a phone and then recognizing a heart. I mention that we can create additional classes for better accuracy. The main change I made was to ensure that the classify function is called again within the gotResult function. I encourage viewers to explore these features and consider how they might enhance their own projects. Thanks for watching!</description></oembed>