[{"@type":"PropertyValue","name":"Data size","value":"1,200 videos, the videos last between 7 and 15 seconds"},{"@type":"PropertyValue","name":"Collecting environment","value":"potholed road"},{"@type":"PropertyValue","name":"Data diversity","value":"including different potholed roads, multiple scenes"},{"@type":"PropertyValue","name":"Device","value":"360 automobile data recorder, the videos resolution is 2,560*1,440"},{"@type":"PropertyValue","name":"Photographic angle","value":"eye-level angle"},{"@type":"PropertyValue","name":"Collecting time","value":"day"},{"@type":"PropertyValue","name":"Data format","value":"the video data format is .mp4"},{"@type":"PropertyValue","name":"Annotation content","value":"potholed road data under different road scenarios were collected"},{"@type":"PropertyValue","name":"Accuracy rate","value":"according to the collection content, the collecting accuracy is over 97%"}]
{"id":1317,"datatype":"1","titleimg":"/shujutang/static/image/index/datatang_tuxiang_default.webp","type1":"147","type1str":null,"type2":"147","type2str":null,"dataname":"1,200 Videos – Potholed Road Collection Data","datazy":[{"title":"Data size","value":"1,200 videos, the videos last between 7 and 15 seconds"},{"title":"Collecting environment","value":"potholed road"},{"title":"Data diversity","value":"including different potholed roads, multiple scenes"},{"title":"Device","value":"360 automobile data recorder, the videos resolution is 2,560*1,440"},{"title":"Photographic angle","value":"eye-level angle"},{"title":"Collecting time","value":"day"},{"title":"Data format","value":"the video data format is .mp4"},{"title":"Annotation content","value":"potholed road data under different road scenarios were collected"},{"title":"Accuracy rate","value":"according to the collection content, the collecting accuracy is over 97%"}],"datatag":"Different potholed roads,Multiple scenes","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":"1,200 Videos – Potholed Road Collection Data. The videos last between 7 and 15 seconds. The colleection devide is 360 automobile data recorder, the videos resolution is 2,560*1,440. The data diversity includes different potholed roads, multiple scenes. The collection time is day. The data can be used for tasks such as potholed road detection and recognition.","dataexampl":"","datakeyword":["Potholed road","360 automobile data recorder","multiple scenes","day","potholed road detection and recognition"],"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"}
1,200 Videos – Potholed Road Collection Data. The videos last between 7 and 15 seconds. The colleection devide is 360 automobile data recorder, the videos resolution is 2,560*1,440. The data diversity includes different potholed roads, multiple scenes. The collection time is day. The data can be used for tasks such as potholed road detection and recognition.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
1,200 videos, the videos last between 7 and 15 seconds
Collecting environment
potholed road
Data diversity
including different potholed roads, multiple scenes
Device
360 automobile data recorder, the videos resolution is 2,560*1,440
Photographic angle
eye-level angle
Collecting time
day
Data format
the video data format is .mp4
Annotation content
potholed road data under different road scenarios were collected
Accuracy rate
according to the collection content, the collecting accuracy is over 97%
Sample
Waiting For Data
Recommended Dataset
304 People Multi-race - Driver Behavior Collection Data
304 People Multi-race - Driver Behavior Collection Data. The data includes multiple ages, multiple time periods and multiple races (Caucasian, Black, Indian). The driver behaviors includes dangerous behavior, fatigue behavior and visual movement behavior. In terms of device, binocular cameras of RGB and infrared channels were applied. This data can be used for tasks such as driver behavior analysis.
dangerous behaviorsfatigue behaviorsvisual movement behaviorsmultiple agesmultiple time periodsmultiple races n-car Cameras RGB and infrared channelsfeelingpassionsentimentexcitementsensationaffectionintensityardorsensibilityfervorvehemenceloveresponsewarmthzealemotionalpathosagitationspiritaffectivityenthusiasmfervencyperturbationimpressionsympathysadnesssentimentalitythrilleagernesspoignancycommotionemotionalismfiresoulanimationemotionalityresponsivenesssensitivenessdisturbanceenergyexpressiontendernesspitifulnessplaintivenesspoignancesentimentsvibesangerempathyfeelings
103,282-Images Driver Behavior Annotation Data
103,282-Images Driver Behavior Annotation Data. The data includes multiple ages, multiple time periods and behaviors (Dangerous behaviors, Fatigue behaviors, Visual movement behaviors). In terms of annotation, 72 facial landmarks (including pupils), face attributes, gesture bounding boxes, seatbelt bounding boxes, pupil landmarks and behavior categories were annotated in the data. This data can be used for tasks such as driver behavior analysis.
dangerous behaviorsfatigue behaviorsvisual movement behaviors72 facial landmarksface attributesgesture bounding boxesseatbelt bounding boxespupil landmarksbehavior categoriesmultiple agesmultiple time periodsIn-car CamerasRGB and infrared channels.eminipaircouplematchestwobracepairsdeucedoubledoublesdualitytwinmatchcombinetwosomeduodyadmatesduetduplicategeminithetwinssimilitudeyokebinariescounterpartsmateanalogscounterpartcouplesdoubletslook-alikeparallelspandeucesmirrorimagesbrotherscloneduplexesnutsrocksalteregosballsclonescombodoubletdyadsequivalentsjoinpair-offsplumsrn
1,003 People-Driver Behavior Collection Data
1,003 People-Driver Behavior Collection Data. The data includes multiple ages and multiple time periods. The driver behaviors includes Dangerous behavior, fatigue behavior and visual movement behavior. In terms of device, binocular cameras of RGB and infrared channels were applied. This data can be used for tasks such as driver behavior analysis.
dangerous behaviorsfatigue behaviorsvisual movement behaviorsmultiple agesmultiple time periodsIn-car Cameras RGB and infrared channels
500 People - Driver Gesture Recognition Data
500 People - Driver Gesture Recognition Data covers multiple age groups, multiple time periods, and multiple gestures. In terms of acquisition equipment, visible light and infrared binocular cameras are used. Each person collected 18 static gestures and 23 dynamic gestures. Static gestures included fist-clenching gestures and heart-to-heart gestures, and dynamic gestures included index finger clicks and two-finger clicks. This set of driver gesture recognition data can be used for tasks such as driver gesture recognition.
Driver Gesture Collection Data Driver Gesture Collection Driver Collection Data Driver Gesture Data
500 Drivers - 7 Expression Recognition Data
Seven facial expressions recognition data of 500 drivers cover multiple ages, multiple time periods and multiple expressions. In terms of acquisition equipment, visible and infrared binocular cameras are used. This set of driver expression recognition data can be used for driver expression recognition analysis and other tasks.
Driver expression data driver expression data collection driver expression recognition data human pose data
1,000 People - Passenger Behavior Recognition Data
The 1,000 passenger behavior recognition data covers multiple ages, time periods and light exposure. Passenger behavior includes passenger normal behavior, passenger abnormal behavior (passenger motion sickness behavior, passenger sleepiness behavior, passenger lost children & items behaviors). In terms of acquisition equipment, visible and infrared binocular cameras are used. This set of passenger behavior identification data can be used for passenger behavior analysis and other tasks.
Passenger normal behavior passenger carsick behavior passenger sleepy behavior passenger lost items behavior multiple age groups multiple time periods
1,000 People Driver Behavior Identification Data
1,000 People-Driver Behavior Identification Data. The data includes multiple ages, multiple time periods and multiple lighting. The driver behaviors includes Dangerous behavior, fatigue behavior and visual movement behavior. In terms of device, binocular cameras of RGB and infrared channels were applied. This data can be used for tasks such as driver behavior analysis.
Driver behavior acquisition data driver behavior acquisition driver data acquisition driver behavior data
78,024 Images-Parking Space Data
78,024 Images-Parking Space Data. The data diversity includes multiple collecting angles, multiple light conditions and scenes. The data can be used for parking space detection task
multiple collecting angles multiple light conditions and scenes