Multi-Angle Parking Detection System using Mask R-CNN

This research work aims to detect occupied and vacant spaces in the parking lot. We utilized the Mask R-CNN architecture, a deep learning object detection model, for automated recognition of parking spaces, on data obtained from multiple angles. In this work, we discuss in detail, the approach used to create a multi-angle parking detection model and the method of recognizing its validity.