Visual road damage detection through vehicles makes it difficult for those responsible for the maintenance of the roads. Performing these studies individually increases the time and cost considerably. When the evaluations make a difference between units, the possibility of making mistakes increases. In addition, reporting is difficult. It is aimed to change this situation with an artificial intelligence-based system to be accurate and fast thanks to the application to be used by many road maintenance services.