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9,000 Images of 180 People - Driver Gesture 21 Landmarks Annotation Data

DMS

driver gesture

gesture 21 landmarks

static gesture

dynamic gesture

driver gesture recognition

gesture landmarks detection

gesture landmarks recognition

9,000 Images of 180 People - Driver Gesture 21 Landmarks Annotation Data. This data diversity includes multiple age periods, multiple time periods, multiple gestures, multiple vehicle types, multiple time periods. For annotation, the vehicle type, gesture type, person nationality, gender, age and gesture 21 landmarks (each landmark includes the attribute of visible and invisible) were annotated. This data can be used for tasks such as driver gesture recognition, gesture landmarks 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

Specifications

Data size

180 people, 50 images per person, including 18 static gestures, 32 dynamic gestures

Population distribution

gender distribution: 89 males, 91 females; age distribution: ranging from young to the elderly, the middle-aged and young people are the majorities; race distribution: Asian

Collecting environment

In-cabin camera

Data diversity

multiple age periods, multiple time periods, multiple gestures

Device

RGB camera, the resolution is 1,920*1,080

Shooting position

above the rearview mirror

Collecting time

day, evening, night

Vehicle type

car, SUV, MPV

Data format

the image data format is .jpg, the annotation file format is .json

Annotation content

label the vehicle type, gesture type, person nationality, gender and age; gesture 21 landmarks (each landmark includes the attribute of visible and invisible) were annotated

Accuracy rate

the accuracy of gesture landmarks annotation is not less than 95%; the accuracies of gesture type, gesture attributes and person label are not less than 95%.

Sample

Sample

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