Distance-based models for Vehicle Classification: A case study

The ever-increasing demand for artificial intelligence techniques in the industry has encouraged the automation of processes that were previously carried out manually. Today, Artificial Intelligence helps us to perform basic tasks more efficiently and faster, sometimes even surpassing the human level. The CarX project was born with the idea of applying Machine Learning and Deep Learning in the context of car retailing. Specifically, the aim is to create a process that guides the user in selling a car or replacing a specific part. This thesis aims to contribute to the CarX project by improving the recognition process of the make and model of a car from an image.