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
