Urban3D Dataset (Sample)
This is a sample subset of the Urban3D dataset, demonstrating the structure and format of our large-scale collection of real-world, object-centric multiview videos and 3D reconstructions for advancing machine learning research in autonomous systems, smart infrastructure, and urban scene understanding.
Dataset Overview
This sample includes select examples from our dataset which contains:
- 10,000+ multiview videos across urban categories
- Categories include: traffic signage, dumpsters, construction equipment, e-scooters, road hazards, and more
- Each object derived from single video sequences
- Processed through custom COLMAP-based pipeline
Technical Details
Each dataset entry includes:
- High-resolution RGB frames
- COLMAP-derived camera poses
- COLMAP database with feature matches
- Sparse 3D point clouds
- Distortion-aware camera intrinsics and extrinsics
- NeRF-ready transforms.json
- Original video file for traceability
Pipeline Features
The dataset processing pipeline supports:
- Structure-from-Motion (SfM) via COLMAP
- Optimized SIFT feature extraction
- Optional image undistortion
- Gaussian Splatting compatibility
- Clean, calibrated geometry for:
- NeRF training
- Gaussian splat generation
- Simulation workflows
License
MIT License
Contact
For questions or support, please contact team@zeroframe.ai