lmms-lab-encoder/POPE
Large-scale Multi-modality Models Evaluation Suite Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval ๐ Homepage | ๐ Documentation | ๐ค Huggingface Datasets This Dataset This is a formatted version of POPE. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models. @article{li2023evaluating, title={Evaluating object hallucination in large vision-language models}โฆ See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/POPE.
<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-eval๐ Homepage | ๐ Documentation | ๐ค Huggingface Datasets
This Dataset
This is a formatted version of POPE. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@article{li2023evaluating,
title={Evaluating object hallucination in large vision-language models},
author={Li, Yifan and Du, Yifan and Zhou, Kun and Wang, Jinpeng and Zhao, Wayne Xin and Wen, Ji-Rong},
journal={arXiv preprint arXiv:2305.10355},
year={2023}
}