This repository implements a real-time object tracker combining YOLOv4 object detection with DeepSort tracking algorithm. YOLOv4 performs object detection using deep convolutional neural networks while DeepSort uses a deep association metric to track detected objects across video frames. The system runs on TensorFlow 2 and provides pre-trained weights for 80 object classes including people and vehicles.