“Related research has made new progress in the field of small object detection in large field surveillance videos. Experts have proposed the SOD-YOLO network, which significantly improves the performance of small object detection through virtual real fusion sample generation, feature enhancement, and optimization of bounding box regression accuracy. This provides an effective technical solution for small object detection in low resolution surveillance videos.”