#029 CNN Yolo Algorithm Master Data Science

In this post, we will finish with the theory behind object detection. We will combine last few posts together to complete the \(Yolo \) object detection algorithm. As the first step, let's see how we can construct our training set. Let's suppose that we are trying to train an algorithm to detect three objects: pedestrians, cars and motorcycles. In addition, we will need to explicitly define the background class, so we just have \(3 \) class labels.