[{"@type":"PropertyValue","name":"Data size","value":"3,903 people"},{"@type":"PropertyValue","name":"Population distribution","value":"gender distribution: 1,975 males, 1,928 females; race distribution: Asian; age distribution: 318 people under 18 years old, 2,740 people aged from 18 to 45 years old, 519 people aged from 46 to 60 years old, 326 people over 60 years old"},{"@type":"PropertyValue","name":"Collecting environment","value":"3,449 people in indoor scenes, 454 people in outdoor scenes"},{"@type":"PropertyValue","name":"Data diversity","value":"multiple age groups, multiple time periods, multiple scenes, different camera angles, different seasonal clothes, different walk speed"},{"@type":"PropertyValue","name":"Device","value":"surveillance camera, the image resolution is 1,920x1,080"},{"@type":"PropertyValue","name":"Collecting time","value":"3,851 people were collected during the day, 52 people were collected at night"},{"@type":"PropertyValue","name":"Data format","value":"the video data format is .mp4"},{"@type":"PropertyValue","name":"Collection content","value":"collecting the gait videos from different surveillance cameras"},{"@type":"PropertyValue","name":"Accuracy","value":"according to the accuracy of the collection content, the accuracy is not less than 95%; the accuracy of label annotation is not less than 95%"}]
{"id":1145,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/APY211231005.png?Expires=2007353704&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=tt6AH4ypt9xKXjpbWw1bcwWRF70%3D","type1":"147","type1str":null,"type2":"147","type2str":null,"dataname":"3,903 People - Gait Recognition Data in Surveillance Scenes","datazy":[{"title":"Data size","value":"3,903 people"},{"title":"Population distribution","value":"gender distribution: 1,975 males, 1,928 females; race distribution: Asian; age distribution: 318 people under 18 years old, 2,740 people aged from 18 to 45 years old, 519 people aged from 46 to 60 years old, 326 people over 60 years old"},{"title":"Collecting environment","value":"3,449 people in indoor scenes, 454 people in outdoor scenes"},{"title":"Data diversity","value":"multiple age groups, multiple time periods, multiple scenes, different camera angles, different seasonal clothes, different walk speed"},{"title":"Device","value":"surveillance camera, the image resolution is 1,920x1,080"},{"title":"Collecting time","value":"3,851 people were collected during the day, 52 people were collected at night"},{"title":"Data format","value":"the video data format is .mp4"},{"title":"Collection content","value":"collecting the gait videos from different surveillance cameras"},{"title":"Accuracy","value":"according to the accuracy of the collection content, the accuracy is not less than 95%; the accuracy of label annotation is not less than 95%"}],"datatag":"Multiple age groups,Multiple time periods,Multiple scenes,Different camera angles,Different seasonal clothes,Different walk speed","technologydoc":null,"downurl":null,"datainfo":"","standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":"","samplePresentation":["mp4",""],"officialSummary":"3,903 People - Gait Recognition Data in Surveillance Scenes. The data includes indoor scenes and outdoor scenes. The data includes males and females, and the age distribution is from children to the elderly. The data diversity includes multiple age groups, multiple time periods, multiple scenes, different camera angles, different seasonal clothes, different walk speed. The data can be used for tasks such as gait recognition in surveillance scenes.","dataexampl":"","datakeyword":["Gait recognition"," indoor scenes"," outdoor scenes"," multiple age groups"," multiple time periods"," multiple scenes"," different camera angles"," different seasonal clothes"," different walk speed"],"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"}
[{"@type":"VideoObject","embedUrl":"p"},{"@type":"VideoObject"}]
3,903 People - Gait Recognition Data in Surveillance Scenes
Gait recognition
indoor scenes
outdoor scenes
multiple age groups
multiple time periods
multiple scenes
different camera angles
different seasonal clothes
different walk speed
3,903 People - Gait Recognition Data in Surveillance Scenes. The data includes indoor scenes and outdoor scenes. The data includes males and females, and the age distribution is from children to the elderly. The data diversity includes multiple age groups, multiple time periods, multiple scenes, different camera angles, different seasonal clothes, different walk speed. The data can be used for tasks such as gait recognition in surveillance scenes.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Population distribution
gender distribution: 1,975 males, 1,928 females; race distribution: Asian; age distribution: 318 people under 18 years old, 2,740 people aged from 18 to 45 years old, 519 people aged from 46 to 60 years old, 326 people over 60 years old
Collecting environment
3,449 people in indoor scenes, 454 people in outdoor scenes
Data diversity
multiple age groups, multiple time periods, multiple scenes, different camera angles, different seasonal clothes, different walk speed
Device
surveillance camera, the image resolution is 1,920x1,080
Collecting time
3,851 people were collected during the day, 52 people were collected at night
Data format
the video data format is .mp4
Collection content
collecting the gait videos from different surveillance cameras
Accuracy
according to the accuracy of the collection content, the accuracy is not less than 95%; the accuracy of label annotation is not less than 95%
Sample
Recommended Dataset
Tell Us Your Special Needs
a53e466d-a992-45ec-aaeb-db60333880b6