biglam/artigo

---
annotations_creators:
- crowd-generated
language:
- de
- en
- fr
license: cc-by-sa-4.0
task_categories:
- object-detection
- image-classification
pretty_name: 'ARTigo: Social Image Tagging'
tags:
- lam
dataset_info:
features:
- name: id
dtype: int64
- name: hash_id
dtype: string
- name: titles
sequence:
- name: id
dtype: int64
- name: name
dtype: string
- name: creators
sequence:
- name: id
dtype: int64
- name: name
dtype: string
- name: location
dtype: string
- name: institution
dtype: string
- name: source
struct:
- name: id
dtype: int64
- name: name
dtype: string
- name: url
dtype: string
- name: path
dtype: string
- name: tags
sequence:
- name: id
dtype: int64
- name: name
dtype: string
- name: language
dtype: string
- name: count
dtype: int64
- name: regions
sequence:
- name: x
dtype: float64
- name: y
dtype: float64
- name: width
dtype: float64
- name: height
dtype: float64
- name: image
dtype: image
splits:
- name: train
num_bytes: 269611482
num_examples: 60633
download_size: 5625395643
dataset_size: 269611482
---

# Dataset Card for ARTigo: Social Image Tagging

## Table of Contents

- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Additional Information](#additional-information)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)

## Dataset Description

- **Homepage:** https://www.artigo.org
- **Repository:** https://github.com/arthist-lmu/artigo
- **Data:** https://doi.org/10.5281/zenodo.8202331

### Dataset Summary

ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations, *tags*, within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices. The project’s data are freely available to the wider research community for novel scientific investigations.

### Supported Tasks and Leaderboards

- `object-detection`: This dataset can be used to train models for object detection tasks on art-historical images.
- `image-classification`: This dataset can also be used for image classification tasks by using only the tags and not the associated region information.

## Dataset Structure

This dataset has a single configuration.

### Data Instances

An example instance from this dataset:

```python
{
'id': 32254,
'hash_id': 'e34fa90bf4c73d20ac19b14fa615206e',
'titles': {
'id': [10893],
'name': ['Entwurf für ein zwölfteiliges Kartenspiel']
},
'creators': {
'id': [2391],
'name': ['Félix Vallotton']
},
'location': 'Lausanne',
'institution': 'Galerie du Chêne',
'source': {
'id': 2,
'name': 'Artemis',
'url': 'http://artemis.uni-muenchen.de/'
},
'path': 'https://api.artigo.org/media/e3/4f/e34fa90bf4c73d20ac19b14fa615206e.jpg',
'tags': {
'id': [6, 10, 13, ..., 206331],
'name': ['blau', 'feder', 'flügel', ..., 'herzober'],
'language': ['de', 'de', 'de', ..., 'de'],
'count': [16, 6, 6, ..., 1],
'regions': [None, None, None, ..., None]
},
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=381x600 at 0x7FEF3A415820>
}
```

### Data Fields

This dataset contains ten fields:

- `id`: a unique identifier for the image;
- `hash_id`: a unique identifier for the image based on its content (e.g., image hash);
- `titles`: a list of titles associated with the image, with each title having the following key-value pairs:
- `id`: a unique identifier for the title;
- `name`: the name of the title;
- `creators`: a list of creators associated with the image, with each creator having the following key-value pairs:
- `id`: a unique identifier for the creator;
- `name`: the name of the creator;
- `location`: the location associated with the image;
- `institution`: the institution that holds the image;
- `source`: information about the source of the image, with the following key-value pairs:
- `id`: a unique identifier for the source;
- `name`: the name of the source;
- `url`: the URL of the source;
- `path`: the path to the image file;
- `tags`: a list of tags associated with the image, with each tag having the following key-value pairs:
- `id`: a unique identifier for the tag;
- `name`: the name of the tag;
- `language`: the language of the tag (if available);
- `count`: the number of times the tag has been applied to the image;
- `regions`: the regions of the image to which the tag can be applied (if available);
- `image`: the image.

### Data Splits

This dataset doesn't provide any predefined train, validation or test splits.

## Additional Information

### Licensing Information

[CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)

### Citation Information

```
@dataset{bry_et_al_artigo,
author = {Bry, François and
Kohle, Hubertus and
Krefeld, Thomas and
Riepl, Christian and
Schneider, Stefanie and
Schön, Gerhard and
Schulz, Klaus},
title = {{ARTigo}: Social Image Tagging (Aggregated Data)},
publisher = {Zenodo},
doi = {10.5281/zenodo.8202331},
url = {https://doi.org/10.5281/zenodo.8202331}}
```

The ARTigo dataset is a social image tagging dataset, part of a Citizen Science project developed at the Ludwig Maximilian University of Munich. It includes images of artworks that have been tagged by participants, suitable for object detection and image classification tasks. The dataset contains various fields such as id, hash_id, titles, creators, location, institution, source, path, tags, and image. The tags include information about the tag name, language, count, and regions. The dataset is licensed under CC BY-SA 4.0 and is available for research purposes.

原始信息汇总

数据集卡片 for ARTigo: Social Image Tagging

数据集描述

数据集概述

ARTigo 是一个公民科学项目，自2010年以来由慕尼黑路德维希-马克西米利安大学艺术史研究所和信息学研究所共同开发。该项目允许参与者对艺术品进行标记，从而促进知识的积累并使传统上精英化的领域民主化。ARTigo 是一个互动的网络应用程序，提供带有目的的游戏：在这些游戏中，玩家会看到一张图片，然后被挑战在规定时间内使用视觉或文本注释（标签）进行交流。通过这种有趣的方式，该项目旨在激发对艺术的更大欣赏，并吸引新的观众到博物馆和档案馆。它简化了艺术史图像的可发现性，同时促进了包容性、有效沟通和协作研究实践。该项目的数据对更广泛的研究社区免费开放，用于新的科学调查。

支持的任务和排行榜

• object-detection: 该数据集可用于训练艺术史图像的对象检测任务模型。
• image-classification: 该数据集也可用于图像分类任务，仅使用标签而不使用关联的区域信息。

数据集结构

该数据集具有单一配置。

数据实例

该数据集的一个示例实例：

python { id: 32254, hash_id: e34fa90bf4c73d20ac19b14fa615206e, titles: { id: [10893], name: [Entwurf für ein zwölfteiliges Kartenspiel] }, creators: { id: [2391], name: [Félix Vallotton] }, location: Lausanne, institution: Galerie du Chêne, source: { id: 2, name: Artemis, url: http://artemis.uni-muenchen.de/ }, path: https://api.artigo.org/media/e3/4f/e34fa90bf4c73d20ac19b14fa615206e.jpg, tags: { id: [6, 10, 13, ..., 206331], name: [blau, feder, flügel, ..., herzober], language: [de, de, de, ..., de], count: [16, 6, 6, ..., 1], regions: [None, None, None, ..., None] }, image: <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=381x600 at 0x7FEF3A415820> }

数据字段

该数据集包含十个字段：

• id: 图像的唯一标识符；
• hash_id: 基于图像内容的唯一标识符（例如，图像哈希）；
• titles: 与图像关联的标题列表，每个标题具有以下键值对：
  • id: 标题的唯一标识符；
  • name: 标题的名称；
• creators: 与图像关联的创建者列表，每个创建者具有以下键值对：
  • id: 创建者的唯一标识符；
  • name: 创建者的名称；
• location: 与图像关联的位置；
• institution: 持有图像的机构；
• source: 图像来源的信息，具有以下键值对：
  • id: 来源的唯一标识符；
  • name: 来源的名称；
  • url: 来源的URL；
• path: 图像文件的路径；
• tags: 与图像关联的标签列表，每个标签具有以下键值对：
  • id: 标签的唯一标识符；
  • name: 标签的名称；
  • language: 标签的语言（如果可用）；
  • count: 标签应用于图像的次数；
  • regions: 标签可应用于图像的区域（如果可用）；
• image: 图像。

数据分割

该数据集没有提供预定义的训练、验证或测试分割。

附加信息

许可信息

CC BY-SA 4.0

引用信息

@dataset{bry_et_al_artigo, author = {Bry, François and Kohle, Hubertus and Krefeld, Thomas and Riepl, Christian and Schneider, Stefanie and Schön, Gerhard and Schulz, Klaus}, title = {{ARTigo}: Social Image Tagging (Aggregated Data)}, publisher = {Zenodo}, doi = {10.5281/zenodo.8202331}, url = {https://doi.org/10.5281/zenodo.8202331}}