YOLOv8 is a state-of-the-art object detection and tracking model that can quickly and accurately identify and locate multiple objects. This model can track object movements and perform classification, supporting various tasks such as instance segmentation and pose estimation. YOLOv8 improves accuracy through enhanced algorithms and network architecture, supporting multiple deployment formats and expanding usability. It has a wide range of applications, including security monitoring, medical image analysis, autonomous driving, and more. With YOLOv8, users can identify objects in real-time and analyze scenes, providing solutions for various visual recognition needs.