This project aims to develop an accurate and robust model for classifying and detecting damages on vehicles. The project utilizes the Mask R-CNN architecture implemented using TensorFlow. By leveraging advanced computer vision techniques, this project provides a comprehensive solution for automating the identification and localization of damages