video1.0<iframe src="https://www.loom.com/embed/b71afe551eab40e3ab8baefd1f86a16a" frameborder="0" width="1316" height="987" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9871316Loomhttps://www.loom.com9871316https://cdn.loom.com/sessions/thumbnails/b71afe551eab40e3ab8baefd1f86a16a-1695395428220.gif181.488In this video, I demonstrate how to use custom trained models to auto-tag telehandlers in photos for a construction equipment company. I explain the limitations of generic auto-tagging and show how to create a new image classification function using Nyckel. By manually tagging a few examples of telehandlers and non-telehandlers, we can train the model to accurately tag the rest of the photos. I also discuss the importance of continuously adding more data to improve the model's accuracy. Everything done in the video is also accessible via a simple API.