en

Please fill in your name

Mobile phone format error

Please enter the telephone

Please enter your company name

Please enter your company email

Please enter the data requirement

Successful submission! Thank you for your support.

Format error, Please fill in again

Confirm

The data requirement cannot be less than 5 words and cannot be pure numbers

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.

Paid Datasets
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
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
  • Waiting For Data
Recommended DatasetsRecommended Dataset
Tell Us Your Special Needs

By submitting, I agree to the Privacy Protection

3d5a12e6-7ca2-4ff7-b8b1-33ca15c9e406

09108396-808f-4993-8837-460b5cc7b3b4