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

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

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

3,360 Images of 168 People - Passenger Behavior Human Body Detection Data

3,360 Images of 168 people - passenger behavior human body detection data. The data scenes are the In-cabin camera scenes. The gender distribution is male and female, and the age distribution is mainly young and middle-aged. Data diversity includes multiple age groups, multiple time periods, multiple lights, and multiple passenger behaviors. In terms of content collection, passengers' normal behavior, calling behavior and smoking behavior are collected. In terms of labeling, the human rectangular box is labeled. The data can be used for tasks such as human body detection of passenger behavior. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

Passenger behaviors Normal behavior Calling behavior Smoking behavior Human body detection

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

The Driver Gesture Recognition Dataset contains recordings from 1,334 participants across diverse age groups, time periods and multiple gestures. Each person performed 18 static gestures(such as fist-clenching gestures and heart-to-heart gestures) and 23 dynamic gestures(including index finger clicks and two-finger clicks). In terms of acquisition equipment, visible light and infrared binocular cameras are used. This dataset is ideal for tasks such as driver monitoring, gesture recognition in vehicles, human-computer interaction, and driver assistance systems.

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 Monitoring Dataset – 7 Facial Expressions from 1,323 Drivers

This dataset contains facial expression recognition data from 1,323 drivers, recorded under different ages, time periods, and expression variations. In terms of acquisition equipment, RGB and infrared binocular cameras are used. This dataset of driver expression recognition data can be used for driver monitoring systems (DMS), driver fatigue and drowsiness detection, In-cabin behavior analysis and other tasks.

driver expression recognition dataset driver monitoring dataset in-cabin monitoring data driver drowsiness detection dataset facial expression recognition dataset automotive AI dataset multimodal driver dataset RGB infrared driver data driver fatigue detection dataset driver attention monitoring

1,444 People – Passenger Behavior Recognition Dataset (RGB & Infrared)

The 1,444 passenger behavior recognition dataset covers multiple ages, time periods and light exposure. Passenger behavior includes passenger normal behavior, passenger abnormal behavior (passenger motion sickness behavior, passenger sleepiness behavior, passenger lost children & items behaviors). In terms of acquisition equipment, visible and infrared binocular cameras are used. This dataset is suitable for passenger activity recognition, abnormal behavior detection and other tasks.

passenger behavior recognition dataset abnormal passenger behavior dataset in-cabin monitoring dataset RGB IR passenger dataset automotive AI passenger monitoring motion sickness detection dataset sleepiness detection dataset passenger safety AI dataset

1,350 Drivers – Driver Behavior Recognition Dataset (RGB & IR)

This dataset includes diverse drivers across multiple ages, time periods, and lighting conditions, with annotated behaviors including dangerous driving, fatigue, and visual movement behaviors. 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, fatigue and drowsiness detection, dangerous driving recognition and driver attention and visual movement monitoring.

driver behavior recognition dataset in-cabin driver monitoring driver fatigue detection dangerous driving dataset RGB IR driver dataset automotive AI driver behavior driver visual movement dataset multimodal driver dataset

Passenger Behavior Recognition Dataset – 122 People with RGB & Infrared 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 in-vehicle passenger monitoring and safety AI systems.

passenger behavior dataset in-vehicle monitoring data passenger activity recognition abnormal behavior dataset car interior monitoring RGB IR dataset

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

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

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