Deep Learning for Traffic Counting

Did you know that traffic counting is behind the rise of Microsoft and thus modern personal computing? Traffic counting is used by city officials to determine transportation needs. The most popular method is by laying a strip of pneumatic rubber tube on the roadway of interest and analyze metrics like vehicle volume, vehicle types, axle counts, etc. This method, however, is not quite accurate or safe so a better method is researched. In this article, you will find how you can build your own traffic counter using a Deep Learning approach (YOLO V5) using a public dataset from the ground up.