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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.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
103,282 images
Population
gender distribution: male, female, race distribution: Asian, age distribution: 18~30 years old, 31~45 years old, 46~60 years old
Collection environment
In-car Cameras
Collection diversity
multiple ages, multiple time periods and behaviors(Dangerous behaviors, Fatigue behaviors, Visual movement behaviors)
Collection device
binocular camera of RGB and infrared channels, the resolutions are 640x480
Collection time
daytime, evening and night
Image parameter
the image format is .jpeg, the annotated file format is .json
the accuracy of facial landmarks annotation is not less than 95%; the accuracies of gesture bounding box, seatbelt bounding box, face attribute and driver behavior label are not less than 95%
Sample
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dangerous behaviorsfatigue behaviorsvisual movement behaviorsmultiple agesmultiple time periodsmultiple races n-car Cameras RGB and infrared channelsfeelingpassionsentimentexcitementsensationaffectionintensityardorsensibilityfervorvehemenceloveresponsewarmthzealemotionalpathosagitationspiritaffectivityenthusiasmfervencyperturbationimpressionsympathysadnesssentimentalitythrilleagernesspoignancycommotionemotionalismfiresoulanimationemotionalityresponsivenesssensitivenessdisturbanceenergyexpressiontendernesspitifulnessplaintivenesspoignancesentimentsvibesangerempathyfeelings
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Specifications
Sample
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