[{"@type":"PropertyValue","name":"Data size","value":"1,078 people"},{"@type":"PropertyValue","name":"Population distribution","value":"yellow race(China mainland), male: 491, female: 587, age: 18-60"},{"@type":"PropertyValue","name":"Collection environment","value":"including indoor and outdoor scenes"},{"@type":"PropertyValue","name":"Data Diversity","value":"different light conditions, difference scenes, different face actions"},{"@type":"PropertyValue","name":"Collection device","value":"Realsense SR300"},{"@type":"PropertyValue","name":"Collection time","value":"daytime"},{"@type":"PropertyValue","name":"Image parameters","value":"the video resolution is 1,920*1,080, video format is .rddsk, the rssdk video inlcudes RGB, Depth, IR channels and camera paremeters"},{"@type":"PropertyValue","name":"Annotation","value":"for each subject, annotated the labels of gender and age, for each video file, annotated the labels of scene, face action, glasses and distance"},{"@type":"PropertyValue","name":"Accuracy","value":"the accuracy of face action exceeds 97%, the accuracy of label exceeds 97%"}]
{"id":956,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/APY180930001.png?Expires=2007353649&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=V411vFNNIAOk92jgiXFsjYmgd8Q%3D","type1":"147","type1str":null,"type2":"147","type2str":null,"dataname":"1,078 People 3D Faces Collection Data","datazy":[{"title":"Data size","value":"1,078 people"},{"title":"Population distribution","value":"yellow race(China mainland), male: 491, female: 587, age: 18-60"},{"title":"Collection environment","value":"including indoor and outdoor scenes"},{"title":"Data Diversity","value":"different light conditions, difference scenes, different face actions"},{"title":"Collection device","value":"Realsense SR300"},{"title":"Collection time","value":"daytime"},{"title":"Image parameters","value":"the video resolution is 1,920*1,080, video format is .rddsk, the rssdk video inlcudes RGB, Depth, IR channels and camera paremeters"},{"title":"Annotation","value":"for each subject, annotated the labels of gender and age, for each video file, annotated the labels of scene, face action, glasses and distance"},{"title":"Accuracy","value":"the accuracy of face action exceeds 97%, the accuracy of label exceeds 97%"}],"datatag":"3D face,Multiple light conditions,Multi-posture,Cross-time collection","technologydoc":null,"downurl":null,"datainfo":"1,079 Chinese 3D human face collection data. Collection device: Realsense SR300. 6 weeks each person (one time one week). Total 16 videos with different light conditions and multiple postures. This data can be applied to huamn face 3D reconstruction and living detection etc.","standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":["1,078 people","Mongoloid","multiple lighting, multiple poses, long time span"],"samplePresentation":["mp4",""],"officialSummary":"1,078 People 3D Faces Collection Data. The collection device is Realsense SR300. Each subject was collected once a week, 6 times in total, so the time span is 6 weeks. The number of videos collected for one subject is 16. The dataset can be used for tasks such as 3D face recognition.","dataexampl":"","datakeyword":["3D face data"," face recognition data"],"isDelete":null,"ids":null,"idsList":null,"datasetCode":null,"productStatus":null,"tagTypeEn":"Task Type,Modalities","tagTypeZh":null,"website":null,"samplePresentationList":null,"datazyList":null,"keyInformationList":null,"dataexamplList":null,"bgimg":null,"datazyScriptList":null,"datakeywordListString":null,"sourceShowPage":"computer","BGimg":"","voiceBg":["/shujutang/static/image/comm/audio_bg.webp","/shujutang/static/image/comm/audio_bg2.webp","/shujutang/static/image/comm/audio_bg3.webp","/shujutang/static/image/comm/audio_bg4.webp","/shujutang/static/image/comm/audio_bg5.webp"],"single":"yes"}
1,078 People 3D Faces Collection Data. The collection device is Realsense SR300. Each subject was collected once a week, 6 times in total, so the time span is 6 weeks. The number of videos collected for one subject is 16. The dataset can be used for tasks such as 3D face recognition.
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