1,334 People Driver Gesture Recognition Dataset – Static & Dynamic Gestures for Automotive AI

122 People - Passenger Behavior Recognition Data

122 People - Passenger Behavior Recognition Data. The data includes multiple age groups, multiple time periods and multiple races (Caucasian, Black, Indian). The passenger behaviors include passenger normal behavior, passenger abnormal behavior(passenger carsick behavior, passenger sleepy behavior, passenger lost items behavior). In terms of device, binocular cameras of RGB and infrared channels were applied. This data can be used for tasks such as passenger behavior analysis.

Multiple age groups Multiple time periods Multiple behaviors (normal behaviors Carsick behaviors Sleepy behaviors Lost items behaviors)

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 behaviors fatigue behaviors visual movement behaviors multiple ages multiple time periods multiple races RGB and infrared channels In-car Cameras

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 behaviors fatigue behaviors visual movement behaviors 72 facial landmarks face attributes gesture bounding boxes seatbelt bounding boxes pupil landmarks behavior categories multiple ages multiple time periods In-car Cameras

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 behavior Fatigue behavior Visual movement behavior Multiple ages Multiple time periods

3D Synthetic Sensor Dataset for DMS – Images, Video & Point Clouds

This 3D high-fidelity synthetic dataset simulates real-world Driver Monitoring System (DMS) environments using photorealistic 3D scene modeling. It includes multi-modal sensor outputs such as camera images, videos, and point clouds, all generated through simulation. The dataset is richly annotated with object classification, detection, and segmentation labels, as well as human pose data (head, eye, arm, and leg position/orientation), camera parameters, and temporal metadata such as illumination and weather conditions. Ideal for training and evaluating models in autonomous driving, robotics, driver monitoring, computer vision, and synthetic perception tasks.

3D synthetic data driver monitoring synthetic dataset autonomous driving synthetic data high-fidelity simulation dataset synthetic point cloud data camera simulation dataset human pose synthetic dataset synthetic lidar dataset 3D environment modeling robotics synthetic data DMS dataset

Driver Face Detection Dataset – 28,972 Images with 96 Landmark Annotations

This dataset contains 28,972 high-resolution infrared images of 100 individuals in driver scenarios, each annotated with face bounding boxes and 96 facial landmarks. The participants vary in age and race (Caucasian, Black, Indian), and the data reflects realistic driving behaviors including fatigue, distraction, and visual movement. Each subject contributes between 274 and 299 images. Infrared cameras were used to ensure visibility under varying lighting conditions. This dataset is suitable for facial detection, keypoint tracking, driver monitoring system (DMS) development, and other computer vision applications. All data complies with GDPR, CCPA, and PIPL regulations.

driver face detection dataset 96 facial landmarks dataset infrared face image dataset facial keypoint annotation driver fatigue detection data distracted driver dataset computer vision driver monitoring face bounding box dataset DMS dataset driver behavior image dataset

Annotated Driver Hand Gesture Dataset – 180 People, 9,000 Images

This dataset includes 9,000 images from 180 individuals, each labeled with 21 hand gesture landmarks along with attributes such as visibility, gesture type, gender, age, nationality, and vehicle type. Captured across diverse driving environments and time periods, this data supports research and model training in gesture recognition, pose estimation, and driver behavior analysis. It is especially useful for developing driver monitoring systems (DMS) and in-cabin interaction technologies. All data is compliant with GDPR, CCPA, and PIPL regulations and has been quality verified by leading AI companies.

driver gesture dataset hand gesture landmark dataset 21 keypoints hand annotation driver monitoring system data gesture recognition dataset driver pose dataset in-vehicle gesture recognition autonomous vehicle hand data driver gesture AI training gesture landmark detection dataset

1,323 Drivers - 7 Expression Recognition Data

Seven facial expressions recognition data of 1,323 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.

Multiple expressions Multiple ages Multiple time periods

1,334 People Driver Gesture Recognition Dataset – Static & Dynamic Gestures for Automotive AI

driver gesture dataset automotive AI dataset in-car gesture recognition driver monitoring dataset human computer interaction dataset static and dynamic gestures vehicle hand gesture dataset infrared camera dataset visible light gesture data driver assistance AI

driver gesture dataset

automotive AI dataset

in-car gesture recognition

driver monitoring dataset

human computer interaction dataset

static and dynamic gestures

vehicle hand gesture dataset

infrared camera dataset

visible light gesture data

driver assistance AI