<?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/0039ee541e174180a52cfe9e85228358&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/0039ee541e174180a52cfe9e85228358-e5c9643d9d71c03e.gif</thumbnail_url><duration>1072.1636</duration><title>Bird Detection with DeepForest</title><description>In this video, I walk you through the process of using DeepForest for bird detection in drone imagery. We cover creating a conda environment, installing necessary packages, and making predictions on bird locations. I also highlight the importance of local annotations to improve model accuracy. Please take a moment to review the steps and provide any feedback on the structure of this tutorial.</description></oembed>