A vehicle counting system utilizing image processing and pre-trained machine learning models is being explored. The system's development involves various approaches, including ensemble deep learning and transfer learning, with some research focusing on its performance under different conditions. The use of pre-trained models, such as those based on CNN and transformer architectures, is also being analyzed for applications beyond vehicle counting, including animal detection and disease classification.