Fashion outfit datasets for recommendation

This project was created with the intention to provide a unified interface for fashion outfit datasets processing and data loading, but is not fully completed and might contain unfinished parts.

I am fully aware that this project has much room for improvement. Since I am currently moving away my intresting from this topic, I may not able to provide any support or updates. However, this proejct is open for anyone to use, modify, and distribute without any restrictions.

See the documentation for more details.

Installation

git clone https://github.com/lzcn/outfit-datasets.git
python setup.py install

After installation, you can go to each sub-folder to process the dataset:

• iqon-3000
• maryland-polyvore
• polyvore-180
• polyvore-outfits
• polyvore-u
• ifashion
• shift15m

Citation

If you find this project useful, please consider citing the following papers:

@inproceedings{LearningBinaryCodeLu19,
  title = {Learning Binary Code for Personalized Fashion Recommendation},
  booktitle = {The {{IEEE Conference}} on {{Computer Vision}} and {{Pattern Recognition}} ({{CVPR}})},
  author = {Lu, Zhi and Hu, Yang and Jiang, Yunchao and Chen, Yan and Zeng, Bing},
  year = {2019},
  pages = {10562--10570},
  doi = {10.1109/CVPR.2019.01081}
}

@inproceedings{PersonalizedOutfitRecommendationLu21,
  title = {Personalized Outfit Recommendation with Learnable Anchors},
  booktitle = {Proceedings of the {{IEEE}}/{{CVF Conference}} on {{Computer Vision}} and {{Pattern Recognition}}},
  author = {Lu, Zhi and Hu, Yang and Chen, Yan and Zeng, Bing},
  year = {2021},
  pages = {12722--12731},
  doi = {10.1109/CVPR46437.2021.01253},
  urldate = {2021-08-11}
}

@article{LearningFashionCompatibilityLu23,
  title = {Learning Fashion Compatibility with Context Conditioning Embedding},
  author = {Lu, Zhi and Hu, Yang and Yu, Cong and Chen, Yan and Zeng, Bing},
  year = {2023},
  journal = {IEEE Transactions on Multimedia},
  pages = {5516--5526},
  issn = {1941-0077},
  doi = {10.1109/TMM.2022.3193560}
}

@article{PersonalizedFashionRecommendationLu23,
  title = {Personalized Fashion Recommendation with Discrete Content-Based Tensor Factorization},
  author = {Lu, Zhi and Hu, Yang and Yu, Cong and Jiang, Yunchao and Chen, Yan and Zeng, Bing},
  year = {2023},
  journal = {IEEE Transactions on Multimedia},
  volume = {25},
  pages = {5053--5064},
  issn = {1941-0077},
  doi = {10.1109/TMM.2022.3186744}
}