---
title: CCD
canonical_url: "https://www.modelscope.cn/datasets/OpenDataLab/CCD"
md_url: "https://www.modelscope.cn/datasets/OpenDataLab/CCD.md"
repository: OpenDataLab/CCD
last_updated: 2025-02-27
license: "[MIT]"
storage_size: "67 GB"
domain:
  - publishDate
  - displayName
  - taskTypes
  - paperUrl
  - publishUrl
  - publisher
  - mediaTypes
tasks:
  - 2020
  - "CCD (Car Crash Dataset)"
  - "Future Prediction"
  - "https://arxiv.org/pdf/2008.00334v1.pdf"
  - "https://github.com/Cogito2012/CarCrashDataset"
  - "Rochester Institute of Technology"
  - Video
downloads: 1579
stars: 0
---

# CCD

> CCD - OpenDataLab 在 ModelScope 开源的数据集。displayName: CCD (Car Crash Dataset) license: MIT mediaTypes: Video paperUrl: https://arxiv.org/pdf/2008.00334v1.pdf publishDate: "2020" publishUrl: https://github.com/Cogito2012/CarCrashDataset publisher: Rochester…

OpenDataLab/CCD 是 ModelScope 魔搭社区上的2020、CCD (Car Crash Dataset)、Future Prediction数据集，涉及 publishDate、displayName、taskTypes 领域，存储大小 67 GB，采用 [MIT] 许可。

- **Repository**: OpenDataLab/CCD
- **License**: [MIT]
- **Tasks**: 2020, CCD (Car Crash Dataset), Future Prediction, https://arxiv.org/pdf/2008.00334v1.pdf, https://github.com/Cogito2012/CarCrashDataset, Rochester Institute of Technology, Video
- **Domain**: publishDate, displayName, taskTypes, paperUrl, publishUrl, publisher, mediaTypes
- **Storage size**: 67 GB
- **Downloads**: 1579
- **Stars**: 0
- **Last updated**: 2025-02-27

Source: https://www.modelscope.cn/datasets/OpenDataLab/CCD

---

displayName: CCD (Car Crash Dataset)
license:
- MIT
mediaTypes:
- Video
paperUrl: https://arxiv.org/pdf/2008.00334v1.pdf
publishDate: "2020"
publishUrl: https://github.com/Cogito2012/CarCrashDataset
publisher:
- Rochester Institute of Technology
tags:
- Car
taskTypes:
- Video Understanding
- Accident Anticipation
- Future Prediction

---
# 数据集介绍
  ## 简介
  收集车祸数据集 (CCD) 用于交通事故分析。它包含由安装在驾驶车辆上的行车记录仪拍摄的真实交通事故视频，这对于开发有安全保障的自动驾驶系统至关重要。 CCD 区别于现有数据集，用于多样化的事故注释，包括环境属性（白天/夜晚、下雪/下雨/良好的天气条件）、是否涉及自我车辆、事故参与者和事故原因描述。
  ## 引文
  ```
@inproceedings{bao2020uncertainty,
  title={Uncertainty-based traffic accident anticipation with spatio-temporal relational learning},
  author={Bao, Wentao and Yu, Qi and Kong, Yu},
  booktitle={Proceedings of the 28th ACM International Conference on Multimedia},
  pages={2682--2690},
  year={2020}
}
```
  
## Download dataset
:modelscope-code[]{type="git"}