[{"@type":"PropertyValue","name":"Data size","value":"13,259 images, one image has only one object, one rectangular bounding box"},{"@type":"PropertyValue","name":"Collecting environment","value":"surveillance scenes"},{"@type":"PropertyValue","name":"Data diversity","value":"different light conditions, different collecting environment, different types of luggage cases, different types of baby carriages, different types of wheelchairs"},{"@type":"PropertyValue","name":"Device","value":"surveillance cameras with resolution of 1,920*1,080"},{"@type":"PropertyValue","name":"Data format","value":"bmp, json"},{"@type":"PropertyValue","name":"Annotation content","value":"rectangular bounding boxes of luggage case, baby carriage, wheelchair"},{"@type":"PropertyValue","name":"Annotation accuracy","value":"the annotation accuracy of rectangular bounding boxes is over 97%"}]
{"id":1148,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/APY211015001.jpg?Expires=2007353697&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=nx%2BDlo3jo/5fU3djlxzf%2Bgx0dYo%3D","type1":"147","type1str":null,"type2":"147","type2str":null,"dataname":"13,259 Images-Luggage Case, Baby Carriage, Wheelchair Data in Surveillance Scenes","datazy":[{"title":"Data size","value":"13,259 images, one image has only one object, one rectangular bounding box"},{"title":"Collecting environment","value":"surveillance scenes"},{"title":"Data diversity","value":"different light conditions, different collecting environment, different types of luggage cases, different types of baby carriages, different types of wheelchairs"},{"title":"Device","value":"surveillance cameras with resolution of 1,920*1,080"},{"title":"Data format","value":"bmp, json"},{"title":"Annotation content","value":"rectangular bounding boxes of luggage case, baby carriage, wheelchair"},{"title":"Annotation accuracy","value":"the annotation accuracy of rectangular bounding boxes is over 97%"}],"datatag":"Different light conditions,Different collecting environment,Different types of luggage cases,Different types of baby carriages,Different types of wheelchairs","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":"13,259 Images-Luggage Case, Baby Carriage, Wheelchair Data in Surveillance Scenes. This dataset includes indoor and outdoor scenes. The data diversity includes different light conditions, different collecting environment, different types of luggage cases, different types of baby carriages, different types of wheelchairs. In terms of annotation,rectangular bounding boxes were adopted for luggage case, baby carriage and wheelchair. The data can be used for object detection and other tasks.","dataexampl":"","datakeyword":["different light conditions"," different collecting environment"," different types of luggage cases"," different types of baby carriages"," different types of wheelchairs"],"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"}
13,259 Images-Luggage Case, Baby Carriage, Wheelchair Data in Surveillance Scenes
different light conditions
different collecting environment
different types of luggage cases
different types of baby carriages
different types of wheelchairs
13,259 Images-Luggage Case, Baby Carriage, Wheelchair Data in Surveillance Scenes. This dataset includes indoor and outdoor scenes. The data diversity includes different light conditions, different collecting environment, different types of luggage cases, different types of baby carriages, different types of wheelchairs. In terms of annotation,rectangular bounding boxes were adopted for luggage case, baby carriage and wheelchair. The data can be used for object detection and other tasks.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
13,259 images, one image has only one object, one rectangular bounding box
Collecting environment
surveillance scenes
Data diversity
different light conditions, different collecting environment, different types of luggage cases, different types of baby carriages, different types of wheelchairs
Device
surveillance cameras with resolution of 1,920*1,080
Data format
bmp, json
Annotation content
rectangular bounding boxes of luggage case, baby carriage, wheelchair
Annotation accuracy
the annotation accuracy of rectangular bounding boxes is over 97%
Sample
Waiting For Data
Recommended Dataset
11,352 Videos- Surveillance Video Data from Overhead View
11,352 Videos- Surveillance Video Data from Overhead View. The data diversity includes multiple scenes, different time periods. The data can be used for tasks such as human detection, human tracking, and human body attribute analysis and other computer vision task based on surveillance video.
multiple scenes different time periods
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
Specifications
Sample
Recommended Dataset
