This project implements vehicle and pedestrian detection and tracking using YOLOv5 for object detection combined with DeepSORT for multi-object tracking across video frames. The implementation wraps the detection logic into a reusable Detector class that can be easily embedded into other projects. It uses PyTorch for model inference and supports GPU acceleration when available.