HyperAI

EMM-AU Driving Accident Video Dataset

Date

2 months ago

Size

42.38 GB

Organization

Hong Kong University of Science and Technology
Tsinghua University

Publish URL

github.com

License

MIT

The EMM-AU (Enhanced Multi-Modal Accident Video Understanding) dataset was released in 2025 by research teams from Tsinghua University, Hong Kong University of Science and Technology, Jilin University, Nanjing University of Science and Technology, Beijing Institute of Technology, Fudan University, etc. It can be applied to driving safety and video analysis. The related paper results are "AVD2: Accident Video Diffusion for Accident Video Description". This dataset is the first dataset designed specifically for driving accident reasoning tasks, and extends the MM-AU dataset by leveraging advanced video generation and enhancement techniques. The dataset contains 2k newly generated detailed accident scene videos, which are generated by fine-tuning the pre-trained Open-Sora 1.2 model, aiming to provide richer and more diverse training data for accident understanding and prevention.

EMM-AU.torrent
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  • EMM-AU/
    • README.md
      1.51 KB
    • README.txt
      3.03 KB
      • data/
        • main.zip
          42.38 GB