README.md

metadata

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}
}