<?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/9020cdd8ff784c7c97e20cc5e01bdda6&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/9020cdd8ff784c7c97e20cc5e01bdda6-e6d0a509b59d0f5d.gif</thumbnail_url><duration>33.3704</duration><title>Testing a Pre-Trained Model for Daytime and Nighttime Classification</title><description>In this video, I discuss a pre-trained model designed to classify images into two categories: daytime and nighttime. Daytime is identified by the presence of light, while nighttime is indicated by darkness. I also demonstrated how to test the model by clicking on a specific link. I encourage you to explore this model further and experiment with it by covering the camera to see how it reacts. Your feedback on this would be greatly appreciated!</description></oembed>