Large-scale face recognition model optimization system

The invention relates to a large-scale face recognition model optimization system. The system comprises an application server, a face algorithm server, a comparison and analysis server, a training management server, an acquisition access server and multiple paths of face snapshot cameras. In order to overcome the defects in a large-scale face recognition application scene, the invention provides the system for performing multi-dimensional analysis and arrangement on data generated in an application process, outputting an annotation data set and further performing optimization training and performance evaluation on an algorithm from a data level. 本发明涉及一种大规模人脸识别模型优化系统，其包括应用服务器、人脸算法服务器、比对分析服务器、训练管理服务器、采集接入服务器、多路人脸抓拍摄像机，本发明为克服大规模人脸识别应用场景中的不足，从数据层面，提供一种在应用过程中产生的数据进行多维度分析整理，输出标注数据集，进而对算法进行优化训练与性能评估的系统。