README.md

---
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<n<1M
configs:
- config_name: nondisjoint
  data_files:
  - split: train
    path: "data/nondisjoint/train.parquet"
  - split: validation
    path: "data/nondisjoint/validation.parquet"
  - split: test
    path: "data/nondisjoint/test.parquet"
- config_name: disjoint
  data_files:
  - split: train
    path: "data/disjoint/train.parquet"
  - split: validation
    path: "data/disjoint/validation.parquet"
  - split: test
    path: "data/disjoint/test.parquet"
---

# Polyvore Outfits Dataset

[📄  Paper](https://arxiv.org/abs/1803.09196) <br>
[💻  Code](https://github.com/mvasil/fashion-compatibility) <br>
[📬  Contact](https://mariya.fyi/contact.html)


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  <div style="flex: 1; text-align: center; display: flex; flex-direction: column;">
    <div style="height: 350px; display: flex; align-items: center; justify-content: center;">
      <img src="https://cdn-uploads.huggingface.co/production/uploads/649caf6b1b14867c42f0a295/ejEg_1zNnE7s9qxlnCsMB.png" 
           alt="polyvore-tsne" 
           style="max-height: 100%; max-width: 100%; object-fit: contain;">
    </div>
    <p><i>t-SNE visualization of item embeddings.</i></p>
  </div>

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      <img src="https://cdn-uploads.huggingface.co/production/uploads/649caf6b1b14867c42f0a295/d3D6p94GywW0h1gg6xfGH.png" 
           alt="polyvore-graph" 
           style="max-height: 100%; max-width: 100%; object-fit: contain;">
    </div>
    <p><i>Outfit compatibility graph structure.</i></p>
  </div>
</div>

## 📌 Access Requirements

Access to this dataset is **restricted** and intended **solely for academic and non-profit research purposes**. <br>
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) <br>
> [Mariya I. Vasileva](), [Bryan Plummer](https://bryanplummer.com/), Khrisna Dusad, Shreya Rajpal, Ranjitha Kumar, [David A. Forsyth](http://luthuli.cs.uiuc.edu/~daf/) <br>
> *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. <br>
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).

<div xmlns:cc="http://creativecommons.org/ns#" xmlns:dct="http://purl.org/dc/terms/" style="font-size: 0.85em;">
  <p>
    <span property="dct:title">Polyvore Outfits Dataset</span> by 
    <a rel="cc:attributionURL" property="cc:attributionName" href="https://mariya.fyi/" target="_blank" rel="noopener noreferrer">Mariya I. Vasileva</a> and 
    <a rel="cc:attributionURL" property="cc:attributionName" href="http://bryanplummer.com/" target="_blank" rel="noopener noreferrer">Bryan A. Plummer</a> 
    is licensed under 
    <a rel="license" href="http://creativecommons.org/licenses/by/4.0/" target="_blank">CC BY 4.0</a>.
  </p>
</div>