Machine Learning, Robotics, Convolutional Neural Networks
Introduction
This course tutorial teaches you the basics of object detection via the YOLO (You Only Look Once) algorithm, which is a state-of-the-art, real-time object detection system. When YOLO was introduced, it was the first approach which applied a single neural network to classify an image. The original YOLO paper is available here. The official YOLO repository is here. While this tutorial does not require a thorough understanding of how YOLO works, here is a great article if you are really interested in a deep dive.
YOLOv5
In this tutorial, we use the most recent generation of YOLO (called YOLOv5). An interesting introduction to YOLOv5 is available here.
This tutorial also makes use of the Anki Vector robot (assets currently owned by Digital Dream Labs LLC) which was first introduced in 2018. In my opinion, the Vector robot has been the cheapest fully functional autonomous …
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