Create a robust computer vision model for accurate vehicle counting and classification in images and videos

I have a project where I need to create a robust computer vision model for accurate vehicle counting and classification in images and videos. The primary purpose of this model is to both count and classify a variety of vehicles, including cars, trucks, buses, and bikes. I require that the accuracy rate of the model be between 90-95%. It is important that the model not only be accurate, but also efficient and reliable. My goal is to achieve comprehensive and precise analysis of each vehicle. I want the model to accurately count and identify each vehicle accurately and quickly, while also providing reliable results.