---
title: TRANCOS
canonical_url: "https://www.modelscope.cn/datasets/OmniData/TRANCOS"
md_url: "https://www.modelscope.cn/datasets/OmniData/TRANCOS.md"
repository: OmniData/TRANCOS
last_updated: 2024-07-09
license: "[TRANCOS Custom]"
storage_size: "1.5 GB"
domain:
  - publishDate
  - labelTypes
  - publishUrl
  - paperUrl
  - mediaTypes
  - taskTypes
  - displayName
  - publisher
tasks:
  - 2015
  - Classification
  - "https://gram.web.uah.es/data/datasets/trancos/index.html"
  - "https://gram.web.uah.es/data/publications/ibpria2015-guerrero.pdf"
  - Image
  - "Keypoint Detection"
  - "TRANCOS (TRaffic ANd COngestionS)"
  - "University of Alcalá"
downloads: 1074
stars: 0
---

# TRANCOS

> TRANCOS - OmniData 在 ModelScope 开源的数据集。displayName: TRANCOS (TRaffic ANd COngestionS) labelTypes: Classification license: TRANCOS Custom mediaTypes: Image paperUrl: https://gram.web.uah.es/data/publications/ibpria2015-guerrero.pdf publishDate: "2015"…

OmniData/TRANCOS 是 ModelScope 魔搭社区上的2015、Classification、https://gram.web.uah.es/data/datasets/trancos/index.html数据集，涉及 publishDate、labelTypes、publishUrl 领域，存储大小 1.5 GB，采用 [TRANCOS Custom] 许可。

- **Repository**: OmniData/TRANCOS
- **License**: [TRANCOS Custom]
- **Tasks**: 2015, Classification, https://gram.web.uah.es/data/datasets/trancos/index.html, https://gram.web.uah.es/data/publications/ibpria2015-guerrero.pdf, Image, Keypoint Detection, TRANCOS (TRaffic ANd COngestionS), University of Alcalá
- **Domain**: publishDate, labelTypes, publishUrl, paperUrl, mediaTypes, taskTypes, displayName, publisher
- **Storage size**: 1.5 GB
- **Downloads**: 1074
- **Stars**: 0
- **Last updated**: 2024-07-09

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

---

displayName: TRANCOS (TRaffic ANd COngestionS)
labelTypes:
- Classification
license:
- TRANCOS Custom
mediaTypes:
- Image
paperUrl: https://gram.web.uah.es/data/publications/ibpria2015-guerrero.pdf
publishDate: "2015"
publishUrl: https://gram.web.uah.es/data/datasets/trancos/index.html
publisher:
- University of Alcalá
tags:
- Vehicles
taskTypes:
- Keypoint Detection

---
# 数据集介绍
  ## 简介
   在这里，我们发布了交通和拥堵 (TRANCOS) 数据集，这是一个用于在交通拥堵情况下（极度重叠）车辆计数的新基准。它由 1244 张图像组成，共标注了 46796 辆汽车。所有图像均使用西班牙交通总局的公开视频监控摄像头拍摄。 
  ## 引文
  
```
"@inproceedings{guerrero2015extremely,
title={Extremely overlapping vehicle counting},
author={Guerrero-G{\'o}mez-Olmedo, Ricardo and Torre-Jim{\'e}nez, Beatriz and L{\'o}pez-Sastre, Roberto and Maldonado-Basc{\'o}n, Saturnino and Onoro-Rubio, Daniel},
booktitle={Iberian Conference on Pattern Recognition and Image Analysis},
pages={423--431},
year={2015},
organization={Springer}
}"

```

  
## Download dataset
:modelscope-code[]{type="git"}