lmms-lab/VizWiz-Caps

---
dataset_info:
features:
- name: image_id
dtype: string
- name: image
dtype: image
- name: caption
dtype: string
- name: text_detected
dtype: bool
splits:
- name: val
num_bytes: 3496788418.0
num_examples: 7750
- name: test
num_bytes: 3981888752.0
num_examples: 8000
download_size: 7445881828
dataset_size: 7478677170.0
---
# Dataset Card for "VizWiz-Caps"

<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-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}
}
```

原始信息汇总

数据集概述

数据集信息

特征

• image_id: 字符串类型
• image: 图像类型
• caption: 字符串类型
• text_detected: 布尔类型

数据分割

• val:
  • 字节数: 3496788418.0
  • 样本数: 7750
• test:
  • 字节数: 3981888752.0
  • 样本数: 8000

数据大小

• 下载大小: 7445881828
• 数据集大小: 7478677170.0