---
title: llava-bench-coco
canonical_url: "https://www.modelscope.cn/datasets/lmms-lab/llava-bench-coco"
md_url: "https://www.modelscope.cn/datasets/lmms-lab/llava-bench-coco.md"
repository: lmms-lab/llava-bench-coco
last_updated: 2024-10-06
license: "Apache License 2.0"
storage_size: "4.7 MB"
downloads: 2588
stars: 0
---

# llava-bench-coco

> llava-bench-coco - lmms-lab 在 ModelScope 开源的数据集。Large-scale Multi-modality Models Evaluation Suite

lmms-lab/llava-bench-coco 是 ModelScope 魔搭社区上的数据集，存储大小 4.7 MB，采用 Apache License 2.0 许可。

- **Repository**: lmms-lab/llava-bench-coco
- **License**: Apache License 2.0
- **Storage size**: 4.7 MB
- **Downloads**: 2588
- **Stars**: 0
- **Last updated**: 2024-10-06

Source: https://www.modelscope.cn/datasets/lmms-lab/llava-bench-coco

---

<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 [LLaVA-Bench(COCO)](https://llava-vl.github.io/) that is used in LLaVA. It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models.

```
  @misc{liu2023improvedllava,
          author={Liu, Haotian and Li, Chunyuan and Li, Yuheng and Lee, Yong Jae},
          title={Improved Baselines with Visual Instruction Tuning}, 
          publisher={arXiv:2310.03744},
          year={2023},
  }

  @inproceedings{liu2023llava,
    author      = {Liu, Haotian and Li, Chunyuan and Wu, Qingyang and Lee, Yong Jae},
    title       = {Visual Instruction Tuning},
    booktitle   = {NeurIPS},
    year        = {2023}
  }
```