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PUG_SPAR

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魔搭社区2025-11-27 更新2025-05-24 收录
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https://modelscope.cn/datasets/facebook/PUG_SPAR
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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
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