---
title: ScanNet
canonical_url: "https://www.modelscope.cn/datasets/OmniData/ScanNet"
md_url: "https://www.modelscope.cn/datasets/OmniData/ScanNet.md"
repository: OmniData/ScanNet
last_updated: 2024-07-15
license: "[ScanNet Custom]"
storage_size: "36 GB"
domain:
  - publishDate
  - taskTypes
  - publishUrl
  - paperUrl
  - displayName
  - publisher
tasks:
  - 2017-02-01
  - "epth Estimation"
  - "http://www.scan-net.org/"
  - "https://arxiv.org/pdf/1702.04405v2.pdf"
  - ScanNet
  - "Technical University of Munich"
downloads: 1439
stars: 4
---

# ScanNet

> ScanNet - OmniData 在 ModelScope 开源的数据集。displayName: ScanNet taskTypes: Semantic Segmentation 3D Object Detection epth Estimation labelTypes: [] mediaTypes: [] license: ScanNet Custom publisher: Stanford University Princeton University Technical University of…

OmniData/ScanNet 是 ModelScope 魔搭社区上的2017-02-01、epth Estimation、http://www.scan-net.org/数据集，涉及 publishDate、taskTypes、publishUrl 领域，存储大小 36 GB，采用 [ScanNet Custom] 许可。

- **Repository**: OmniData/ScanNet
- **License**: [ScanNet Custom]
- **Tasks**: 2017-02-01, epth Estimation, http://www.scan-net.org/, https://arxiv.org/pdf/1702.04405v2.pdf, ScanNet, Technical University of Munich
- **Domain**: publishDate, taskTypes, publishUrl, paperUrl, displayName, publisher
- **Storage size**: 36 GB
- **Downloads**: 1439
- **Stars**: 4
- **Last updated**: 2024-07-15

Source: https://www.modelscope.cn/datasets/OmniData/ScanNet

---

displayName: ScanNet
taskTypes:
  - Semantic Segmentation
  - 3D Object Detection
  - epth Estimation
labelTypes: []
mediaTypes: []
license:
  - ScanNet Custom
publisher:
  - Stanford University
  - Princeton University
  - Technical University of Munich
tags:
  - attrs: null
    id: 1755
    name:
      en: 3D Objects
      zh: 3D 物体
publishDate: '2017-02-01'
publishUrl: http://www.scan-net.org/
paperUrl: https://arxiv.org/pdf/1702.04405v2.pdf

---
  ## 简介
  ScanNet 是一个包含 2D 和 3D 数据的实例级室内 RGB-D 数据集。它是标记体素的集合，而不是点或对象。截至目前，ScanNet v2 是 ScanNet 的最新版本，已经收集了 1513 个带注释的扫描，表面覆盖率约为 90%。在语义分割任务中，该数据集被标记为 20 类带注释的 3D 体素化对象。
  ## 引文
  ```
@inproceedings{dai2017scannet,
  title={Scannet: Richly-annotated 3d reconstructions of indoor scenes},
  author={Dai, Angela and Chang, Angel X and Savva, Manolis and Halber, Maciej and Funkhouser, Thomas and Nie{\ss}ner, Matthias},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={5828--5839},
  year={2017}
  }
```
  
## Download dataset
:modelscope-code[]{type="git"}