YOLO (You Only Look Once) is a powerful object detection model created by Ultralytics that enables you to identify content in images and videos from the command line and Python. From here, you can perform classification and respond to images or videos with your code.

When paired with a Raspberry Pi Camera Module, YOLO forms a powerful means of identifying objects that your Raspberry Pi board can react to. You can use it with sensors and actuators connected to the Raspberry Pi to perform real-time identification and reaction. You can also use it to analyse images and video files.

YOLO26 has just been released, and the YOLO26n model is what we are using here. It’s custom-built for speed, accuracy, and versatility. You can use YOLO out of the box or train your own datasets on it.

In this tutorial, we’re going to look at installing the Ultralytics framework with images and video files, both online and in our computer system. We’ll also look at setting up Docker so that you can install the environment and the programs needed.

...read more at raspberrypi.com