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.
For more details, please refer to the link: https://www.nexdata.ai/datasets/1033?source=Github
103,282 images
gender distribution: male, female, race distribution: Asian, age distribution: 1830 years old, 3145 years old, 46~60 years old
In-car Cameras
multiple ages, multiple time periods and behaviors(Dangerous behaviors, Fatigue behaviors, Visual movement behaviors)
binocular camera of RGB and infrared channels, the resolutions are 640x480
daytime, evening and night
the image format is .jpeg, the annotated file format is .json
72 facial landmarks (including pupils), face attributes, gesture bounding boxes, seatbelt bounding boxes, pupil landmarks, behavior categories
no sensitive information
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%
Commercial License