The YOLO loss function

The YOLO loss function is calculated in the following steps: 

1. First, we find the bounding boxes with the highest intersection over union (IoU) and with the correct bounding boxes.
2. Then, we calculate the confidence loss, which means the probability of the object being present inside a given bounding box.
3. Next, we calculate the classification loss, which indicates the present class of objects within the bounding box.
4. Finally, we calculate the coordinate loss for matching the detected boxes.

In summary, the total loss function is as follows:

In the next section, we will learn about the YOLO architecture.