In machine learning, a "family" refers to a group of models that are interconnected through shared core concepts and evolutionary development. Take the YOLO (You Only Look Once) family as an example: its models range from the original YOLOv1 to the advanced YOLOv12, forming a clear lineage. While all models in the family share the same fundamental principles for object detection, they incorporate new techniques and improvements over time to enhance performance and efficiency.
