The YOLO (You Only Look Once) series, developed by Ultralytics, continues to advance computer vision models. The latest release, YOLO11, delivers significant improvements in both precision and efficiency over previous versions. YOLO11 can perform image classification at high speed with minimum resources, making it suitable for real-time applications in edge devices. We also found that the ability to use the same framework to do pose estimation, object detection, image segmentation and other tasks is very powerful. This significant development also reminds us that using ‘traditional’ machine-learning models for specific tasks can be more powerful than general AI models, such as LLMs.
