Vehicle Pattern Recognition Using Machine Learning and Deep Learning

Recently, there has been increased interest in intelligent transportation systems. The most important duty in this area is to classify and locate vehicles. Differentiating between the attributes of various cars is the task’s main obstacle. The fact that a wide range of cars do not adhere to lane discipline makes vehicle classification and detection a challenging problem to pinpoint. In this tutorial, we’ve built a convolution neural network from the ground up to categorize and recognize objects using a contemporary convolution neural network based on fast regions. For classification and detection in this study, we took into account three different types of vehicles: buses, cars, and bikes. We’ll employ a method that creates a bounding box using the complete image as input.