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---
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license: cc-by-nc-3.0
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---
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## MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding
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### This is the version 2.0 for WACV 2025 LLVM-AD Challenge.
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Tencent, University of Illinois at Urbana-Champaign, Purdue University, University of Virginia
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### Dataset Structure
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```
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----data
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|----images
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| |----FR1
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| | |----photo_forward.jpg
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| | |----photo_lef_back.jpg
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| | |----photo_rig_back.jpg
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| | |----point_cloud_bev.jpg
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| |----FR2
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| | |----photo_forward.jpg
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| | |----photo_lef_back.jpg
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| | |----photo_rig_back.jpg
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| | |----point_cloud_bev.jpg
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| ...
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|----train_v2.json
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|----val_v2.json
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|----test_v2.json
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```
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### Reference
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When using this resource, please cite:
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```
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@inproceedings{cao2024maplm,
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title={MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding},
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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},
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booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
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pages={21819--21830},
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year={2024}
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}
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```
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```
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@inproceedings{tang2023thma,
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title={Thma: Tencent hd map ai system for creating hd map annotations},
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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},
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booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
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volume={37},
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number={13},
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pages={15585--15593},
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year={2023}
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}
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```
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