PUG_SPAR
收藏魔搭社区2025-11-27 更新2025-05-24 收录
下载链接:
https://modelscope.cn/datasets/facebook/PUG_SPAR
下载链接
链接失效反馈官方服务:
资源简介:
## PUG: SPAR
PUG: SPAR (Scene, Position, Attribute, Relation) contains 43,560 test samples, with image-caption pairs that evaluate VLMs scene and object recognition, as well as inter-object and object-attribute relationships respectively. We utilize scenes containing up to two objects in 4 unique spatial relationships and 4 different texture variations.
## LICENSE
The datasets are distributed under the CC-BY-NC, with the addenda that they should not be used to train Generative AI models.
## Citing PUG
If you use one of the PUG datasets, please cite:
```
@misc{bordes2023pug,
title={PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning},
author={Florian Bordes and Shashank Shekhar and Mark Ibrahim and Diane Bouchacourt and Pascal Vincent and Ari S. Morcos},
year={2023},
eprint={2308.03977},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
```
## To learn more about the PUG datasets:
Please visit the [website](https://pug.metademolab.com/) and the [github](https://github.com/facebookresearch/PUG)
# PUG: SPAR
PUG: SPAR(场景、位置、属性、关系)数据集包含43560个测试样本,其配套的图像-文本对可分别用于评估视觉语言模型(Vision-Language Models, VLMs)的场景识别、物体识别能力,以及物体间交互关系与物体-属性关联关系。本数据集所采用的场景最多包含两个物体,涵盖4种独特的空间布局关系与4种不同的纹理变体。
## 许可证
本数据集采用CC-BY-NC协议分发,附加条款明确禁止将其用于训练生成式AI(Generative AI)模型。
## 引用PUG数据集
若您使用了任一PUG数据集,请引用如下文献:
@misc{bordes2023pug,
title={PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning},
author={Florian Bordes and Shashank Shekhar and Mark Ibrahim and Diane Bouchacourt and Pascal Vincent and Ari S. Morcos},
year={2023},
eprint={2308.03977},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
## 了解更多PUG数据集相关信息
请访问[官网](https://pug.metademolab.com/)与[GitHub仓库](https://github.com/facebookresearch/PUG)
提供机构:
maas
创建时间:
2025-05-20



