Real-Time Object Detection in a Simulated Environment using TensorFlow and CARLA

This project demonstrates real-time object detection using a pre-trained model from TensorFlow Hub, trained on the COCO dataset. The dynamic environment is simulated using CARLA Simulator (v0.9.15), enabling testing and visualization of object detection in a realistic urban setting.