[{"@type":"PropertyValue","name":"Data size","value":"600,000 images"},{"@type":"PropertyValue","name":"Collecting environment","value":"outdoor roads (highways, road bayonets, urban roads, etc.)"},{"@type":"PropertyValue","name":"Data diversity","value":"including different cameras, multiple outdoor scenes, multiple time periods"},{"@type":"PropertyValue","name":"Device","value":"surveillance cameras"},{"@type":"PropertyValue","name":"Collecting angle","value":"looking down angle, eye-level angle"},{"@type":"PropertyValue","name":"Collecting time","value":"day, night"},{"@type":"PropertyValue","name":"Data format","value":"the image data format is .jpg, the annotation file format is .json"},{"@type":"PropertyValue","name":"Annotation content","value":"rectangular bounding boxes of vehicles"},{"@type":"PropertyValue","name":"Accuracy","value":"a rectangular bounding box of vehicle is qualified when the deviation is not more than 3 pixels, and the qualified rate of the bounding boxes shall not be lower than 97%"}]
{"id":1111,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/APY210615001.png?Expires=2007353692&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=jBkhdEudNJjyQK60iV4RRsLv%2BZU%3D","type1":"147","type1str":null,"type2":"147","type2str":null,"dataname":"600,000 Images – Vehicle Re-ID Data in Surveillance Scenes","datazy":[{"title":"Data size","value":"600,000 images"},{"title":"Collecting environment","value":"outdoor roads (highways, road bayonets, urban roads, etc.)"},{"title":"Data diversity","value":"including different cameras, multiple outdoor scenes, multiple time periods"},{"title":"Device","value":"surveillance cameras"},{"title":"Collecting angle","value":"looking down angle, eye-level angle"},{"title":"Collecting time","value":"day, night"},{"title":"Data format","value":"the image data format is .jpg, the annotation file format is .json"},{"title":"Annotation content","value":"rectangular bounding boxes of vehicles"},{"title":"Accuracy","value":"a rectangular bounding box of vehicle is qualified when the deviation is not more than 3 pixels, and the qualified rate of the bounding boxes shall not be lower than 97%"}],"datatag":"Different cameras,Multiple outdoor scenes,Multiple time periods","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":"600,000 Images – Vehicle Re-ID Data in Surveillance Scenes. The collecting scenes of this dataset include outdoor roads (highways, road bayonets, urban roads, etc.). The data diversity includes different cameras, multiple outdoor scenes, multiple time periods. For annotation, rectangular bounding boxes of vehicles were annotated. The data can be used for tasks such as vehicle re-id in surveillance scenes.","dataexampl":"","datakeyword":["Vehicle Re-ID","outdoor roads","different cameras"," multiple outdoor scenes"," multiple time periods","rectangular bounding boxes of vehicles"],"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"}
600,000 Images – Vehicle Re-ID Data in Surveillance Scenes
Vehicle Re-ID
outdoor roads
different cameras
multiple outdoor scenes
multiple time periods
rectangular bounding boxes of vehicles
600,000 Images – Vehicle Re-ID Data in Surveillance Scenes. The collecting scenes of this dataset include outdoor roads (highways, road bayonets, urban roads, etc.). The data diversity includes different cameras, multiple outdoor scenes, multiple time periods. For annotation, rectangular bounding boxes of vehicles were annotated. The data can be used for tasks such as vehicle re-id in surveillance scenes.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
including different cameras, multiple outdoor scenes, multiple time periods
Device
surveillance cameras
Collecting angle
looking down angle, eye-level angle
Collecting time
day, night
Data format
the image data format is .jpg, the annotation file format is .json
Annotation content
rectangular bounding boxes of vehicles
Accuracy
a rectangular bounding box of vehicle is qualified when the deviation is not more than 3 pixels, and the qualified rate of the bounding boxes shall not be lower than 97%
Specifications
Sample
Recommended Dataset
