[{"@type":"PropertyValue","name":"Data size","value":"10,114 people"},{"@type":"PropertyValue","name":"Population distribution","value":"gender distribution: 4,198 males, 5,916 females; age distribution: children(838 people), students(1,197 people), the youth(5,336 people), middle age (2,363 people), the old (378 people), unsure(2 people)"},{"@type":"PropertyValue","name":"Collection environment","value":"surveillance scenes, including indoor scenes and outdoor scenes"},{"@type":"PropertyValue","name":"Collection diversity","value":"different light conditions, different scenes, different routes"},{"@type":"PropertyValue","name":"Collection device","value":"surveillance camera; photographic angles: looking down angle"},{"@type":"PropertyValue","name":"Collection time","value":"day, sunset"},{"@type":"PropertyValue","name":"Image parameters","value":"resolution:1,920x1,080, format: .jpg"},{"@type":"PropertyValue","name":"Annotation","value":"rectangular bounding boxes of human body; rectangular bounding boxes of human body + riding object; 21 human body attributes"},{"@type":"PropertyValue","name":"Accuracy","value":"annotation accuracy of rectangular bounding boxes is over 95%; annotation accuracy of human body attributes is over 95%"}]
{"id":965,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/APY181231017.png?Expires=2007353656&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=UCetb/g9s9DzGzx67tYQ1Icfr0U%3D","type1":"147","type1str":null,"type2":"147","type2str":null,"dataname":"10,114 People Multi-view Tracking Data","datazy":[{"title":"Data size","value":"10,114 people"},{"title":"Population distribution","value":"gender distribution: 4,198 males, 5,916 females; age distribution: children(838 people), students(1,197 people), the youth(5,336 people), middle age (2,363 people), the old (378 people), unsure(2 people)"},{"title":"Collection environment","value":"surveillance scenes, including indoor scenes and outdoor scenes"},{"title":"Collection diversity","value":"different light conditions, different scenes, different routes"},{"title":"Collection device","value":"surveillance camera; photographic angles: looking down angle"},{"title":"Collection time","value":"day, sunset"},{"title":"Image parameters","value":"resolution:1,920x1,080, format: .jpg"},{"title":"Annotation","value":"rectangular bounding boxes of human body; rectangular bounding boxes of human body + riding object; 21 human body attributes"},{"title":"Accuracy","value":"annotation accuracy of rectangular bounding boxes is over 95%; annotation accuracy of human body attributes is over 95%"}],"datatag":"Surveillance,Human body,Multi-view tracking,Multiple scenes,Attribute annotation,Re-ID","technologydoc":null,"downurl":null,"datainfo":"10,125 people cross-camera tracking data under surveillance, including indoor(shopping mall) and outdoor. It covers male, female from different age ranges. Annotation: human movement and 21 featrues annotation, This data can be applied to human body cross-camera tracking, REID etc.","standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":["real surveillance","attribute annotation accuracy is over 95%","tracking annotation accuracy is over 95%"],"samplePresentation":["mp4",""],"officialSummary":"This data is a multi-view tracking data of 10,114 people in surveillance scenes. Surveillance scenes includes indoor and outdoor scenes. The data includes men and women of different ages. In terms of annotation, the human body bounding boxes, human body + riding object bounding boxes, and 21 human body attributes of tracking objects were annotated. This data can be used for human body multi-view tracking, Re-ID and other tasks.","dataexampl":"","datakeyword":["Multi-view"," Cross-camera"," human body tracking"," Re-ID","Re-ID"],"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"}
This data is a multi-view tracking data of 10,114 people in surveillance scenes. Surveillance scenes includes indoor and outdoor scenes. The data includes men and women of different ages. In terms of annotation, the human body bounding boxes, human body + riding object bounding boxes, and 21 human body attributes of tracking objects were annotated. This data can be used for human body multi-view tracking, Re-ID and other tasks.
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Specifications
Data size
10,114 people
Population distribution
gender distribution: 4,198 males, 5,916 females; age distribution: children(838 people), students(1,197 people), the youth(5,336 people), middle age (2,363 people), the old (378 people), unsure(2 people)
Collection environment
surveillance scenes, including indoor scenes and outdoor scenes
Collection diversity
different light conditions, different scenes, different routes
Collection device
surveillance camera; photographic angles: looking down angle
Collection time
day, sunset
Image parameters
resolution:1,920x1,080, format: .jpg
Annotation
rectangular bounding boxes of human body; rectangular bounding boxes of human body + riding object; 21 human body attributes
Accuracy
annotation accuracy of rectangular bounding boxes is over 95%; annotation accuracy of human body attributes is over 95%
Specifications
Sample
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