All datasets / SNUMPR
SNUMPR/DRAKE
The declared licence (cc-by-4.0) is classified as permissive.
- Declared licence
- cc-by-4.0, from the tagEvidence: README.md at 4bb3a58
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 4bb3a58
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
% =========================
% DRAKE training datasets
% =========================
@inproceedings{han2017fashion200k,
title = {Automatic Spatially-aware Fashion Concept Discovery},
author = {Han, Xintong and Wu, Zuxuan and Huang, Phoenix X. and Zhang, Xiao and Zhu, Menglong and Li, Yuan and Zhao, Yang and Davis, Larry S.},
booktitle = {ICCV},
year = {2017}
}
@inproceedings{wu2021fashioniq,
title = {{Fashion IQ}: A New Dataset Towards Retrieving Images by Natural Language Feedback},
author = {Wu, Hui and Gao, Yupeng and Guo, Xiaoxiao and Al-Halah, Ziad and Rennie, Steven and Grauman, Kristen and Feris, Rogerio},
booktitle = {CVPR},
year = {2021}
}
@inproceedings{suhr2019nlvr2,
title = {A Corpus for Reasoning about Natural Language Grounded in Photographs},
author = {Suhr, Alane and Zhou, Stephanie and Zhang, Ally and Zhang, Iris and Bai, Huajun and Artzi, Yoav},
booktitle = {ACL},
year = {2019}
}
@inproceedings{liu2021cirr,
title = {Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models},
author = {Liu, Zheyuan and Rodriguez-Opazo, Cristian and Teney, Damien and Gould, Stephen},
booktitle = {ICCV},
year = {2021}
}
@article{bai2023vision,
title = {{VISION} Datasets: A Benchmark for Vision-based Industrial Inspection},
author = {Bai, Haoping and Mou, Shancong and Likhomanenko, Tatiana and Cinbis, Ramazan Gokberk and Tuzel, Oncel and Huang, Ping and Shan, Jiulong an
The same facts for your agent
A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.
dataset_licence({ "id": "SNUMPR/DRAKE" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0