worldbench / 3EED
[NeurIPS 2025 DB Track] 3EED: Ground Everything Everywhere in 3D
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Cross-Platform. First 3D grounding dataset spanning vehicle, drone, and quadruped platforms
- Large-Scale. Large-scale annotated samples across diverse real-world scenarios
- Multi-Modal. Synchronized RGB, LiDAR, and language annotations
- Challenging. Complex outdoor environments with varying object densities and viewpoints
- Reproducible. Unified evaluation protocols and baseline implementations
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 10 months ago
- Stars
- 215
- +2 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 74% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 86% closed
- 1 still open
- Pull requests
- 1 merged
- 0 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 74%
- Cuda 16%
- C++ 9%
- C 1%
Topics
- 3d-visual-grounding
- multi-modality
- 3d
- gpt
- llm
- mllm
- qwen
- spatial-intelligence
- vlm
- llm-for-3d
- mllm-for-3d
- vlm-for-3d
Project record
- JobOther AI tools
- StatusListed
- Commits15
- Forks13
- Watching11
- Stars in 28 days+3
- CreatedMay 16, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026