24
stars
4
commits
1
linked in READMEs
Mar 8, 2024
updated
Accelerating the development of large-scale multi-modality models (LMMs) with
lmms-eval
🏠 Homepage | 📚 Documentation | 🤗 Huggingface Datasets
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}
}
4 commits
24
stars
4
commits
1
linked in READMEs
Mar 8, 2024
updated
Accelerating the development of large-scale multi-modality models (LMMs) with
lmms-eval
🏠 Homepage | 📚 Documentation | 🤗 Huggingface Datasets
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}
}
4 commits