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 t...
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| creator | YANG JIU WANG JIE WANG JIAJUN JIA WEI JIANG ZEXIN SHAO HAIKUN CHAI JIONG WU YANJIANG HONG QIXIANG TANG XIAOYI LIU QIMING CHENG YUBIAO HUANG ZHIYUAN GUO XIAOCHUAN SHI CHUQIANG LIU CONG BAI RENNIAN GU YUANLING XIANG GANG ZHOU HAO MA ZHONGWANG ZOU JINGFENG WANG HUI LI TAO |
| description | 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。 |
| format | Patent |
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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。</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDDzSSxKT9UtTk7MSVVIS0xOVShKTc5Pz8ssyczPU8jNT0nNUcgvKMnMzaxKBAsVVxaXpObyMLCmJeYUp_JCaW4GRTfXEGcP3dSC_PjU4gKgQXmpJfHOfoaGhgbmlqZmZo7GxKgBALqFLfI</recordid><startdate>20200428</startdate><enddate>20200428</enddate><creator>YANG JIU</creator><creator>WANG JIE</creator><creator>WANG JIAJUN</creator><creator>JIA WEI</creator><creator>JIANG ZEXIN</creator><creator>SHAO HAIKUN</creator><creator>CHAI JIONG</creator><creator>WU YANJIANG</creator><creator>HONG QIXIANG</creator><creator>TANG XIAOYI</creator><creator>LIU QIMING</creator><creator>CHENG YUBIAO</creator><creator>HUANG ZHIYUAN</creator><creator>GUO XIAOCHUAN</creator><creator>SHI CHUQIANG</creator><creator>LIU CONG</creator><creator>BAI RENNIAN</creator><creator>GU YUANLING</creator><creator>XIANG GANG</creator><creator>ZHOU HAO</creator><creator>MA ZHONGWANG</creator><creator>ZOU JINGFENG</creator><creator>WANG HUI</creator><creator>LI TAO</creator><scope>EVB</scope></search><sort><creationdate>20200428</creationdate><title>Large-scale face recognition model optimization system</title><author>YANG JIU ; WANG JIE ; WANG JIAJUN ; JIA WEI ; JIANG ZEXIN ; SHAO HAIKUN ; CHAI JIONG ; WU YANJIANG ; HONG QIXIANG ; TANG XIAOYI ; LIU QIMING ; CHENG YUBIAO ; HUANG ZHIYUAN ; GUO XIAOCHUAN ; SHI CHUQIANG ; LIU CONG ; BAI RENNIAN ; GU YUANLING ; XIANG GANG ; ZHOU HAO ; MA ZHONGWANG ; ZOU JINGFENG ; WANG HUI ; LI TAO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN111079566A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2020</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>YANG JIU</creatorcontrib><creatorcontrib>WANG JIE</creatorcontrib><creatorcontrib>WANG JIAJUN</creatorcontrib><creatorcontrib>JIA WEI</creatorcontrib><creatorcontrib>JIANG ZEXIN</creatorcontrib><creatorcontrib>SHAO HAIKUN</creatorcontrib><creatorcontrib>CHAI JIONG</creatorcontrib><creatorcontrib>WU YANJIANG</creatorcontrib><creatorcontrib>HONG QIXIANG</creatorcontrib><creatorcontrib>TANG XIAOYI</creatorcontrib><creatorcontrib>LIU QIMING</creatorcontrib><creatorcontrib>CHENG YUBIAO</creatorcontrib><creatorcontrib>HUANG ZHIYUAN</creatorcontrib><creatorcontrib>GUO XIAOCHUAN</creatorcontrib><creatorcontrib>SHI CHUQIANG</creatorcontrib><creatorcontrib>LIU CONG</creatorcontrib><creatorcontrib>BAI RENNIAN</creatorcontrib><creatorcontrib>GU YUANLING</creatorcontrib><creatorcontrib>XIANG GANG</creatorcontrib><creatorcontrib>ZHOU HAO</creatorcontrib><creatorcontrib>MA ZHONGWANG</creatorcontrib><creatorcontrib>ZOU JINGFENG</creatorcontrib><creatorcontrib>WANG HUI</creatorcontrib><creatorcontrib>LI TAO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>YANG JIU</au><au>WANG JIE</au><au>WANG JIAJUN</au><au>JIA WEI</au><au>JIANG ZEXIN</au><au>SHAO HAIKUN</au><au>CHAI JIONG</au><au>WU YANJIANG</au><au>HONG QIXIANG</au><au>TANG XIAOYI</au><au>LIU QIMING</au><au>CHENG YUBIAO</au><au>HUANG ZHIYUAN</au><au>GUO XIAOCHUAN</au><au>SHI CHUQIANG</au><au>LIU CONG</au><au>BAI RENNIAN</au><au>GU YUANLING</au><au>XIANG GANG</au><au>ZHOU HAO</au><au>MA ZHONGWANG</au><au>ZOU JINGFENG</au><au>WANG HUI</au><au>LI TAO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Large-scale face recognition model optimization system</title><date>2020-04-28</date><risdate>2020</risdate><abstract>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。</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Large-scale face recognition model optimization system |
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