---
title: Multimodal_Intelligent_Traffic_Surveillance
canonical_url: "https://www.modelscope.cn/datasets/zhaokaikai/Multimodal_Intelligent_Traffic_Surveillance"
md_url: "https://www.modelscope.cn/datasets/zhaokaikai/Multimodal_Intelligent_Traffic_Surveillance.md"
repository: zhaokaikai/Multimodal_Intelligent_Traffic_Surveillance
chinese_name: "多模态交通数据集"
last_updated: 2025-10-27
license: "Apache License 2.0"
storage_size: "69 GB"
downloads: 11397
stars: 10
---

# Multimodal_Intelligent_Traffic_Surveillance

> Multimodal_Intelligent_Traffic_Surveillance - zhaokaikai 在 ModelScope 开源的数据集。Pretrained / finetuned checkpoints hosted on ModelScope:

zhaokaikai/Multimodal_Intelligent_Traffic_Surveillance 是 ModelScope 魔搭社区上的数据集，存储大小 69 GB，采用 Apache License 2.0 许可。

- **Repository**: zhaokaikai/Multimodal_Intelligent_Traffic_Surveillance
- **License**: Apache License 2.0
- **Storage size**: 69 GB
- **Downloads**: 11397
- **Stars**: 10
- **Last updated**: 2025-10-27

Source: https://www.modelscope.cn/datasets/zhaokaikai/Multimodal_Intelligent_Traffic_Surveillance

---

## Models

Pretrained / finetuned checkpoints hosted on ModelScope:

* **llava-v1.5-7b-traffic**
  [https://www.modelscope.cn/models/zhaokaikai/llava-1.5-7b-hf-traffic](https://www.modelscope.cn/models/zhaokaikai/llava-1.5-7b-hf-traffic)
* **llava-v1.6-7b-traffic**
  [https://www.modelscope.cn/models/zhaokaikai/Qwen2.5-VL-3B-Instruct-Traffic](https://www.modelscope.cn/models/zhaokaikai/Qwen2.5-VL-3B-Instruct-Traffic)
* **Qwen2-VL-7B-Traffic**
  [https://www.modelscope.cn/models/zhaokaikai/Qwen2-VL-7B-Instruct-Traffic](https://www.modelscope.cn/models/zhaokaikai/Qwen2-VL-7B-Instruct-Traffic)
* **Qwen2.5-VL-3B-Traffic**
  [https://www.modelscope.cn/models/zhaokaikai/Qwen2.5-VL-3B-Instruct-Traffic](https://www.modelscope.cn/models/zhaokaikai/Qwen2.5-VL-3B-Instruct-Traffic)
* **Qwen2.5-VL-7B-Traffic**
  [https://www.modelscope.cn/models/zhaokaikai/Qwen2.5-VL-7B-Instruct-Traffic](https://www.modelscope.cn/models/zhaokaikai/Qwen2.5-VL-7B-Instruct-Traffic)

> Tip: For each model, see its ModelScope page for exact usage, tokenizer/processor, and license.

---


## Usage
- 💻 Usage & examples: please refer to the GitHub repo  
  **https://github.com/LifeIsSoSolong/Multimodal-Intelligent-Traffic-Surveillance-Dataset-Models**

## Citation

If you find MITS useful, please cite:

```bibtex
@article{zhao2025mits,
  title   = {MITS: A large-scale multimodal benchmark dataset for Intelligent Traffic Surveillance},
  author  = {Zhao, Kaikai and Liu, Zhaoxiang and Wang, Peng and Wang, Xin and Ma, Zhicheng and Xu, Yajun and Zhang, Wenjing and Nan, Yibing and Wang, Kai and Lian, Shiguo},
  journal = {Image and Vision Computing},
  pages   = {105736},
  year    = {2025},
  publisher = {Elsevier}
}
```

---

## License

* Code is released under the license specified in `LICENSE` (add or update this file as needed).
* Please check each model and the dataset pages on ModelScope for their respective licenses and terms.

## Contact
Unicom AI