README.md

---
license: apache-2.0
task_categories:
- image-segmentation
language:
- en
pretty_name: S2D3D
size_categories:
- 100M<n<1B
tags:
- panorama
---


<div align="center" style="display: flex; align-items: center; justify-content: center; gap: 16px;">
  <div style="text-align: center;">
    <h1 style="margin: 0; font-size: 2em;">S2D3D Dataset</h1>
    <p style="margin: 6px 0 0; font-size: 1.2em;">A panoramic dataset for indoor semantic segmentation</p>
  </div>
</div>


## 📕 Introduction

This dataset originates from [S2D3D](https://github.com/alexsax/2D-3D-Semantics), propcessed by [360BEV](https://github.com/jamycheung/360BEV) and is used by our ECCV'24 paper [OPS](https://junweizheng93.github.io/publications/OPS/OPS.html).

If you're interested in my research topics, feel free to check [my homepage](https://junweizheng93.github.io/) for more findings!

If you're interested in this dataset, please cite the following paper:

## 📖 Citation
```text
@article{armeni2017joint,
  title={Joint 2d-3d-semantic data for indoor scene understanding},
  author={Armeni, Iro and Sax, Sasha and Zamir, Amir R and Savarese, Silvio},
  journal={arXiv preprint arXiv:1702.01105},
  year={2017}
}
```