lmms-lab-encoder/textvqa
Large-scale Multi-modality Models Evaluation Suite Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval π Homepage | π Documentation | π€ Huggingface Datasets This Dataset This is a formatted version of TextVQA. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models. @inproceedings{singh2019towards, title={Towards vqa models that can read}, author={Singh, Amanpreet andβ¦ See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/textvqa.
<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-evalπ Homepage | π Documentation | π€ Huggingface Datasets
This Dataset
This is a formatted version of TextVQA. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@inproceedings{singh2019towards,
title={Towards vqa models that can read},
author={Singh, Amanpreet and Natarajan, Vivek and Shah, Meet and Jiang, Yu and Chen, Xinlei and Batra, Dhruv and Parikh, Devi and Rohrbach, Marcus},
booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
pages={8317--8326},
year={2019}
}