[{"@type":"PropertyValue","name":"Data size","value":"1,274 videos"},{"@type":"PropertyValue","name":"Collecting environment","value":"including indoor and outdoor scenes"},{"@type":"PropertyValue","name":"Data diversity","value":"multiple scenes, multiple shooting angles, multiple resolution"},{"@type":"PropertyValue","name":"Collecting angle","value":"looking down angle, eye-level angle, looking up angle"},{"@type":"PropertyValue","name":"Collecting time","value":"day, night"},{"@type":"PropertyValue","name":"Collecting equipment","value":"surveillance camera, cell phone"},{"@type":"PropertyValue","name":"Data format","value":"the video data format is .mp4"}]
{"id":1351,"datatype":"1","titleimg":"/shujutang/static/image/index/datatang_tuxiang_default.webp","type1":"147","type1str":null,"type2":"147","type2str":null,"dataname":"1,274 Videos – Fence Climb Behavior Data","datazy":[{"title":"Data size","value":"1,274 videos"},{"title":"Collecting environment","value":"including indoor and outdoor scenes"},{"title":"Data diversity","value":"multiple scenes, multiple shooting angles, multiple resolution"},{"title":"Collecting angle","value":"looking down angle, eye-level angle, looking up angle"},{"title":"Collecting time","value":"day, night"},{"title":"Collecting equipment","value":"surveillance camera, cell phone"},{"title":"Data format","value":"the video data format is .mp4"}],"datatag":"Multiple scenes,Multiple shooting angles,Multiple resolution","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":"1,274 Videos – Fence Climb Behavior Data includes indoor scenes and outdoor scenes. The data covers multiple scenes, multiple shooting angles, and multiple resolutions. The data can be used for tasks such as human behavior detection and abnormal behavior recognition.","dataexampl":"","datakeyword":["Fence Climb Behavior Data","human body detection data"," human behavior identification data"," security data"," abnormal behavior 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"}
1,274 Videos – Fence Climb Behavior Data includes indoor scenes and outdoor scenes. The data covers multiple scenes, multiple shooting angles, and multiple resolutions. The data can be used for tasks such as human behavior detection and abnormal behavior recognition.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
looking down angle, eye-level angle, looking up angle
Collecting time
day, night
Collecting equipment
surveillance camera, cell phone
Data format
the video data format is .mp4
Sample
Waiting For Data
Recommended Dataset
1,022 People - Re-ID Data in Surveillance Scenes
1,022 People - Re-ID Collection Data in Surveillance Scenes. The data scenario is outdoor scenes. The data includes males and females, the age distribution is juvenile, youth, middle-aged, the young people are the majorities. The data diversity includes different age groups, multiple scenes, different shooting angles, different human body orientations and postures, clothing for different seasons. For annotation, the rectangular bounding boxes and 15 attributes of human body were annotated. This data can be used for re-id and other tasks.
Re-ID outdoor scenes multiple age groups multiple scenes different camera heights different seasonal clothes different motion postures
3,903 People - Gait Recognition Data in Surveillance Scenes
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.
Gait recognition indoor scenes outdoor scenes multiple age groups multiple time periods multiple scenes different camera angles different seasonal clothes different walk speed
2,002 People - Electric Bicycle Entering Elevator Data
2,002 People - Electric Bicycle Entering Elevator Data. 2,002 people, 1 image and 4-5 videos were collected for each person. The data covers ranging from teenager to the elderly, the middle-aged and young people are the majorities. The data can be used for tasks such as electric bicycle detection, electric bicycle recognition.
ReID data event detection differentt types of elevators different types of electric bicyclesmultiple ages
189 Videos-Electric Bicycle Entering Elevator Data
189 Videos-Electric Bicycle Entering Elevator Data，the total duration is 1 hour 58 minutes 40.72 seconds. The data covers different types of elevators, different types of electric bicycles, different time periods. The data can be used for tasks such as electric bicycle detection, electric bicycle recognition .
different types of elevators different types of electric bicycles different types of non-electric bicycles different time periods
5,808 People - Human Pose Recognition Data
5,808 People - Human Pose Recognition Data. This dataset includes indoor and outdoor scenes.This dataset covers males and females. Age distribution ranges from teenager to the elderly, the middle-aged and young people are the majorities. The data diversity includes different shooting heights, different ages, different light conditions, different collecting environment, clothes in different seasons, multiple human poses. For each subject, the labels of gender, race, age, collecting environment and clothes were annotated. The data can be used for human pose recognition and other tasks.
Different shooting heights different ages different light conditions different collecting environment clothes in different seasons multiple human poses
5,521 People - Re-ID Data in Surveillance Scenes
5,521 People - Re-ID 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 different age groups, different time periods, different shooting angles, different human body orientations and postures, clothing for different seasons. For annotation, the rectangular bounding boxes and 15 attributes of human body were annotated. The data can be used for re-id and other tasks.
Surveillance scenes Re-ID different age groups different time periods different shooting angles different human body orientations and postures clothing for different seasons human body rectangular bounding boxes attributes annotation
100 People - Gait Recognition Data
100 People - Gait Recognition Data. The collecting scenes of this dataset include indoor scenes (exhibition hall, front desk), outdoor scenes (square, gate of the company) . The data diversity includes multiple age groups, multiple time periods, 5 kinds of scenes, 3 kinds of garments, different shooting angles. For annotation, the binarization processing was adopted for the image frames. The data can be used for tasks such as gait recognition in surveillance scenes.
surveillance scenes gait recognition multiple age groups multiple time periods 5 kinds of scenes 3 kinds of garments different shooting angles binarization processing
10,543 People - Face Recognition Data at Ticket Gate
10,543 People - Face Recognition Data at Ticket Gate, for each subject, 4 images were collected. The dataset diversity includes different shooting heights, different ages, different light conditions and scenes.This data can be applied to computer vision tasks such as face detection and recognition.
Different shooting heightsDifferent agesDifferent light conditions and scenes
Specifications
Sample
Recommended Dataset
