Dashcam Urban Dataset
Forward-facing dashcam video from urban driving environments with traffic annotations for training autonomous driving perception and world models.
Dataset at a Glance
Comparison with Public Datasets
How Claru's dataset compares to publicly available alternatives.
| Dataset | Clips | Hours | Modalities | Environments | Annotations |
|---|---|---|---|---|---|
| nuScenes | 40K | 5.5 | Multi-sensor | 2 cities | 3D boxes, maps |
| Waymo Open | ~200K | ~6 | Multi-sensor | 3 cities | 3D boxes, segmentation |
| Claru Dashcam | 100K+ | 800+ | RGB, IMU | 20+ cities | Vehicles, pedestrians, lanes, signs, weather |
Use Cases
Driving Perception
Object detection and tracking for autonomous vehicle systems. Example models: BEVFormer, StreamPETR, UniAD.
Driving World Models
Learning traffic dynamics and scene evolution from dashcam sequences. Example models: GAIA-1, DriveDreamer, GenAD.
Lane Detection
Identifying lane markings and road boundaries in diverse conditions. Example models: LaneATT, CLRNet, MapTR.
Key References
- [1]Caesar et al.. “nuScenes: A Multimodal Dataset for Autonomous Driving.” CVPR 2020, 2020. Link
- [2]Sun et al.. “Scalability in Perception for Autonomous Driving: Waymo Open Dataset.” CVPR 2020, 2020. Link
- [3]Hu et al.. “GAIA-1: A Generative World Model for Autonomous Driving.” arXiv 2023, 2023. Link
How Claru Delivers This Data
Claru's dashcam collection spans 20+ cities with genuine driving routes, not test tracks. IMU data synchronized with video enables ego-motion estimation for world model training.
Frequently Asked Questions
20+ cities across North America and Europe with diverse road types: highways, urban streets, suburban roads, and parking structures.
Claru provides orders of magnitude more hours of video from more cities, focused on RGB+IMU rather than full multi-sensor suites, making it ideal for vision-centric approaches.
Yes. IMU data at 100Hz is synchronized with video, and camera intrinsics are provided for monocular depth and ego-motion estimation.
Request a Sample Pack
Get a curated sample of dashcam urban data with full annotations to evaluate for your project.