lmms-lab/COCO-Caption2017

Dataset

24

stars

4

commits

1

linked in READMEs

Mar 8, 2024

updated

Browse cluster: Multimodal Document and Visual Understanding

README

Large-scale Multi-modality Models Evaluation Suite

Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval

🏠 Homepage | 📚 Documentation | 🤗 Huggingface Datasets

This Dataset

This is a formatted version of COCO-Caption-2017-version. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.

@misc{lin2015microsoft,
      title={Microsoft COCO: Common Objects in Context}, 
      author={Tsung-Yi Lin and Michael Maire and Serge Belongie and Lubomir Bourdev and Ross Girshick and James Hays and Pietro Perona and Deva Ramanan and C. Lawrence Zitnick and Piotr Dollár},
      year={2015},
      eprint={1405.0312},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Contributors

kcz358

4 commits

lmms-lab/COCO-Caption2017

Dataset

24

stars

4

commits

1

linked in READMEs

Mar 8, 2024

updated

Browse cluster: Multimodal Document and Visual Understanding

README

Large-scale Multi-modality Models Evaluation Suite

Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval

🏠 Homepage | 📚 Documentation | 🤗 Huggingface Datasets

This Dataset

This is a formatted version of COCO-Caption-2017-version. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.

@misc{lin2015microsoft,
      title={Microsoft COCO: Common Objects in Context}, 
      author={Tsung-Yi Lin and Michael Maire and Serge Belongie and Lubomir Bourdev and Ross Girshick and James Hays and Pietro Perona and Deva Ramanan and C. Lawrence Zitnick and Piotr Dollár},
      year={2015},
      eprint={1405.0312},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Contributors

kcz358

4 commits