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{"id":1171,"datatype":"1","titleimg":"https://www.nexdata.ai/shujutang/static/image/index/datatang_tuxiang_default.webp","type1":"147","type1str":null,"type2":"148","type2str":null,"dataname":"Urban Surveillance Dataset – 75,239 Groups, 16 Categories with Bounding Box Annotations","datazy":[{"title":"Data size","desc":"Data size","content":"16 categories, a total of 75,239 images"},{"title":"Collecting environment","desc":"Collecting environment","content":"including street, snack street, shop entrance, corridor, community entrance, etc."},{"title":"Data diversity","desc":"Data diversity","content":"multiple scenes, different time periods, different photographic angles"},{"title":"Device","desc":"Device","content":"surveillance camera"},{"title":"Collecting angle","desc":"Collecting angle","content":"looking down angle"},{"title":"Collecting time","desc":"Collecting time","content":"day, night"},{"title":"Data format","desc":"Data format","content":".jpg, .json"},{"title":"Accuracy","desc":"Accuracy","content":"the qualification rate of the bounding box is not less than 95%, the accuracy of label annotation is not less than 95%"}],"datatag":"Urban,Multiple scenes,Different time periods,Different photographic angles","technologydoc":null,"downurl":null,"datainfo":null,"standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":"","samplePresentation":[{"name":"/data/apps/damp/temp/ziptemp/APY220317002_demo1699005600441/000171.jpg","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY220317002_demo1699005600441/000171.jpg?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=Q1sQ3KtvjxuPHe0g1KJccpcJ6V8%3D","intro":"","size":0,"progress":100,"type":"jpg"}],"officialSummary":"This dataset contains 75,239 groups of images across 16 urban categories. The collection scenes include street, snack street, shop entrance, corridor, community entrance, etc. The data diversity includes multiple scenes, different time periods(day, night), different photographic angles. Each image is annotated with bounding boxes. This data can be used for tasks such as urban object detection, public safety monitoring, smart city infrastructure analysis, and computer vision model training.","dataexampl":null,"datakeyword":["smart city dataset","city management dataset","urban surveillance dataset","urban object detection dataset","public space monitoring dataset","urban environment dataset","public safety dataset"],"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"]}
This dataset contains 75,239 groups of images across 16 urban categories. The collection scenes include street, snack street, shop entrance, corridor, community entrance, etc. The data diversity includes multiple scenes, different time periods(day, night), different photographic angles. Each image is annotated with bounding boxes. This data can be used for tasks such as urban object detection, public safety monitoring, smart city infrastructure analysis, and computer vision model training.
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Specifications
Data size
16 categories, a total of 75,239 images
Collecting environment
including street, snack street, shop entrance, corridor, community entrance, etc.
Data diversity
multiple scenes, different time periods, different photographic angles
Device
surveillance camera
Collecting angle
looking down angle
Collecting time
day, night
Data format
.jpg, .json
Accuracy
the qualification rate of the bounding box is not less than 95%, the accuracy of label annotation is not less than 95%