Pedestrian and Vehicle Detection System Based on Deep Learning

This paper discusses the application of deep learning technology in the field of pedestrian and vehicle detection. Pedestrian and vehicle detection is an important problem in computer vision, which has a wide range of practical applications. We review YOLO algorithms and their applications in pedestrian and vehicle detection. The selection and labeling methods of data sets, model training and optimization strategies, and the application of evaluation indexes are discussed. Finally, we analyze current technology challenges and future directions, including improved detection accuracy, real-time performance, and further improvements in the generalization ability of complex scenarios