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---
license: cc-by-nc-3.0
---
## MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding
### This is the version 2.0 for WACV 2025 LLVM-AD Challenge.
Tencent, University of Illinois at Urbana-Champaign, Purdue University, University of Virginia
### Dataset Structure
```
----data
|----images
| |----FR1
| | |----photo_forward.jpg
| | |----photo_lef_back.jpg
| | |----photo_rig_back.jpg
| | |----point_cloud_bev.jpg
| |----FR2
| | |----photo_forward.jpg
| | |----photo_lef_back.jpg
| | |----photo_rig_back.jpg
| | |----point_cloud_bev.jpg
| ...
|----train_v2.json
|----val_v2.json
|----test_v2.json
```
### Reference
When using this resource, please cite:
```
@inproceedings{cao2024maplm,
title={MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding},
author={Cao, Xu and Zhou, Tong and Ma, Yunsheng and Ye, Wenqian and Cui, Can and Tang, Kun and Cao, Zhipeng and Liang, Kaizhao and Wang, Ziran and Rehg, James M and others},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={21819--21830},
year={2024}
}
```
```
@inproceedings{tang2023thma,
title={Thma: Tencent hd map ai system for creating hd map annotations},
author={Tang, Kun and Cao, Xu and Cao, Zhipeng and Zhou, Tong and Li, Erlong and Liu, Ao and Zou, Shengtao and Liu, Chang and Mei, Shuqi and Sizikova, Elena and others},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={37},
number={13},
pages={15585--15593},
year={2023}
}
```
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