Example: Object Detection on Images
introduce
Object detection and tracking in real-time video is an important area of computer vision with wide-ranging applications in various fields such as surveillance, automotive, and robotics.
There is an increasing need for real-time object detection and tracking in video frames due to the need for automated systems that can identify and track objects, determine their location, and classify them in real-time.
In this project, we developed an application to detect and track objects in a live video stream using the YOLOv8 object detection and tracking algorithm. The application is built using the Streamlit framework, which provides an intuitive and interactive user interface for end users to interact with the system