This tutorial explores object tracking and detection using the YOLOv8 model and the Python SDK. YOLOv8 is a state-of-the-art model in computer vision, known for its real-time object detection capabilities. The tutorial covers the architecture of YOLOv8, how it achieves its impressive performance, and provides practical examples using the Ultralytics YOLO API. It also emphasizes the importance of a custom, annotated image dataset for training the model.
