---
title: VizWiz-VQA
canonical_url: "https://www.modelscope.cn/datasets/lmms-lab/VizWiz-VQA"
md_url: "https://www.modelscope.cn/datasets/lmms-lab/VizWiz-VQA.md"
repository: lmms-lab/VizWiz-VQA
last_updated: 2024-11-21
license: "Apache License 2.0"
storage_size: "5.6 GB"
downloads: 4075
stars: 0
---

# VizWiz-VQA

> VizWiz-VQA - lmms-lab 在 ModelScope 开源的数据集。Dataset Card for "VizWiz-VQA"

lmms-lab/VizWiz-VQA 是 ModelScope 魔搭社区上的数据集，存储大小 5.6 GB，采用 Apache License 2.0 许可。

- **Repository**: lmms-lab/VizWiz-VQA
- **License**: Apache License 2.0
- **Storage size**: 5.6 GB
- **Downloads**: 4075
- **Stars**: 0
- **Last updated**: 2024-11-21

Source: https://www.modelscope.cn/datasets/lmms-lab/VizWiz-VQA

---

# Dataset Card for "VizWiz-VQA"

<p align="center" width="100%">
<img src="https://i.postimg.cc/g0QRgMVv/WX20240228-113337-2x.png"  width="100%" height="80%">
</p>

# Large-scale Multi-modality Models Evaluation Suite

> Accelerating the development of large-scale multi-modality models (LMMs) with `lmms-eval`

🏠 [Homepage](https://lmms-lab.github.io/) | 📚 [Documentation](docs/README.md) | 🤗 [Huggingface Datasets](https://huggingface.co/lmms-lab)

# This Dataset

This is a formatted version of [VizWiz-VQA](https://vizwiz.org/tasks-and-datasets/vqa/). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models.

```
@inproceedings{gurari2018vizwiz,
  title={Vizwiz grand challenge: Answering visual questions from blind people},
  author={Gurari, Danna and Li, Qing and Stangl, Abigale J and Guo, Anhong and Lin, Chi and Grauman, Kristen and Luo, Jiebo and Bigham, Jeffrey P},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={3608--3617},
  year={2018}
}
```

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)