Modified YOLOv5 Streamlit

A machine learning model simulator specifically designed for detecting vehicles in traffic CCTV footage. Utilizes a modified YOLOv5 architecture for real-time object detection, focusing on identifying cars, trucks, and other vehicles. The application is built with Python, Streamlit for the interactive web interface, and PyTorch for model training and inference. Ideal for traffic monitoring and analytics, it demonstrates the integration of deep learning models into user-friendly web apps.