--- license: cc-by-4.0 task_categories: - image-classification - object-detection - visual-question-answering - image-to-text - feature-extraction language: - en tags: - image - fashion - compatibility - similarity - computer-vision - recommendation-system - benchmark - vision-and-language - contrastive-learning - metric-learning - visual-relationship-mining - representation-learning - embedding-methods - self-supervised-learning pretty_name: Polyvore Outfits Dataset size_categories: - 100K [💻 Code](https://github.com/mvasil/fashion-compatibility)
[📬 Contact](https://mariya.fyi/contact.html)

t-SNE visualization of item embeddings.

Outfit compatibility graph structure.

## 📌 Access Requirements Access to this dataset is **restricted** and intended **solely for academic and non-profit research purposes**.
By requesting and downloading this dataset, you acknowledge and agree to the following: 1. **Approval required:** Access should be requested using an institutional or research-affiliated email address. 2. **Copyright notice:** The dataset authors do **not** own the copyright to the underlying images or metadata. All content is provided for research and educational use. 3. **Requesting access:** Researchers wishing to use the dataset should request access through the "Access Request" button on this official page. ## 📖 Dataset Summary The **Polyvore Outfits Dataset** was introduced in: > [**Learning Type-Aware Embeddings for Fashion Compatibility**](https://arxiv.org/abs/1803.09196)
> [Mariya I. Vasileva](), [Bryan Plummer](https://bryanplummer.com/), Khrisna Dusad, Shreya Rajpal, Ranjitha Kumar, [David A. Forsyth](http://luthuli.cs.uiuc.edu/~daf/)
> *European Conference on Computer Vision (ECCV), 2018* The dataset was designed to support research in **fashion compatibility**, **outfit recommendation**, and **multimodal retrieval**. It enables evaluation of models that reason about *complementarity* between clothing items across semantic categories. ### 📝 Key Characteristics - **68,306 curated outfits** - **261,058 heterogeneous fashion items** - High-quality product images - Rich metadata, including: - Category labels - Item descriptions - Outfit groupings - Widely adopted as a benchmark for compatibility and retrieval tasks ## 🧩 Dataset Versions & Evaluation Splits Two official variants are provided: ### 1. Polyvore Outfits (Nondisjoint) - Easier, outfit-level split - **No outfit overlap** between training, validation, and test sets - Individual items **may** appear in both training and test sets ### 2. Polyvore Outfits (Disjoint) - Harder, item-level split - **No item overlap** between training, validation, and test sets - Recommended for fair generalization assessment When reporting experiment results, users should specify which split was used for evaluation. ## 🎯 Supported Tasks - Fashion compatibility prediction - Outfit recommendation - Fill-in-the-blank (FITB) evaluation - Outfit and item retrieval - Visual relationship mining - Contrastive and metric learning --- ## ⚖️ License & Terms of Use This dataset is distributed under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license.
By downloading or using this dataset, you agree to the following terms: 1. **Commercial & non-commercial use permitted** You are free to use, copy, and redistribute the material in any medium or format for any purpose, including commercial applications. 2. **Attribution required** You must give **appropriate credit** by citing the original paper (see "How to Cite" below), **provide a link to the license**, and **indicate if and how changes were made**. 3. **Adaptation permitted** You may remix, transform, and build upon the material, **provided the original work is properly attributed**. 4. **No additional restrictions** You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. --- ## 📚 How to Cite If you use this dataset, build upon it, or include it in a commercial application, please cite the original work: ```bibtex @inproceedings{vasileva2018learning, title={Learning Type-Aware Embeddings for Fashion Compatibility}, author={Vasileva, Mariya I. and Plummer, Bryan A. and Dusad, Krishna and Rajpal, Shreya and Kumar, Ranjitha and Forsyth, David A.}, booktitle={European Conference on Computer Vision (ECCV)}, year={2018} } ``` --- ## 📬 Contact For questions regarding access, attribution, or permitted use, please contact the dataset authors [here](https://mariya.fyi/contact.html).

Polyvore Outfits Dataset by Mariya I. Vasileva and Bryan A. Plummer is licensed under CC BY 4.0.