tum-traffic-dataset / tum-traffic-dataset-dev-kit
TUM Traffic Dataset Development Kit
Why this job: works in the areas we cover, but does not say which job it does
What it does
The TUM Traffic Dataset (TUMTraf) is based on roadside sensor data from the 3 km long Providentia Test Field for Autonomous Driving near Munich in Germany. The dataset includes anonymized and precision-timestamped multi-modal sensor and object data in high resolution, covering a variety of traffic situations. We provide camera and LiDAR frames from overhead gantry bridges with the corresponding objects labeled with 3D bounding boxes and track IDs. The dataset contains the following subsets:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 6 months ago
- Stars
- 104
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 15% closed
- 17 still open
- Pull requests
- 0 merged
- 1 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- 3d-object-detection
- 3d-vision
- autonomous-driving
- benchmark
- camera
- dataset
- deep-learning
- dev-kit
- image
- lidar
- machine-learning
- munich
Project record
- JobOther AI tools
- StatusListed
- Commits19
- Forks12
- Watching2
- Stars in 28 days+2
- CreatedJul 26, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026