VizWiz-Caps

# Dataset Card for "VizWiz-Caps"

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# 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-Caps](https://arxiv.org/abs/2002.08565v2). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models.

```
@inproceedings{gurari2020captioning,
title={Captioning images taken by people who are blind},
author={Gurari, Danna and Zhao, Yinan and Zhang, Meng and Bhattacharya, Nilavra},
booktitle={Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part XVII 16},
pages={417--434},
year={2020},
organization={Springer}
}
```

# 「VizWiz-Caps」数据集卡片

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# 大规模多模态模型评测套件

> 通过`lmms-eval`加速大规模多模态模型（Large-scale Multi-modality Models, LMMs）的研发

🏠 [主页](https://lmms-lab.github.io/) | 📚 [文档](docs/README.md) | 🤗 [Huggingface数据集平台](https://huggingface.co/lmms-lab)

# 本数据集

本数据集是[VizWiz-Caps](https://arxiv.org/abs/2002.08565v2)的格式化版本，被应用于我们的`lmms-eval`流水线中，以实现大规模多模态模型的一键评测。

@inproceedings{gurari2020captioning,
title={视障人群拍摄图像的字幕生成},
author={Gurari, Danna and Zhao, Yinan and Zhang, Meng and Bhattacharya, Nilavra},
booktitle={《计算机视觉——2020年第16届欧洲计算机视觉会议（ECCV 2020）论文集》，英国格拉斯哥，2020年8月23日至28日，第XVII卷 第16部分},
pages={417--434},
year={2020},
organization={施普林格（Springer）}
}