Objects and vehicle recognition are known for their speed and accuracy and are widely used in real-time applications such as surveillance and self-driving cars. Objects and vehicle recognition are frequently used as an object detection foundation for the following object-tracking algorithm development.

It can be used to transport people or cargo. The everyday vehicles that are used for daily work are wagons, bicycles, motor vehicles, cars, watercraft, aircraft, and spacecraft. Vehicles can be divided into categories based on their function. Vehicles can be operating on road, water, or air.

It is an element of modern traffic monitoring systems. Vehicle detection for traffic control uses sensors and software to identify the location, presence, and speed of vehicles. The car detection learning model can be used to detect vehicles in aerial imagery or high-resolution drones.