annotations_creators:
- crowd-generated
license: cc-by-sa-4.0
language:
- de
- en
- fr
tags:
- lam
task_categories:
- object-detection
- image-classification
pretty_name: 'ARTigo: Social Image Tagging'
Dataset Card for ARTigo: Social Image Tagging
Table of Contents
Dataset Description
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:
{
'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
The 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
The dataset doesn't provide any predefined train, validation or test splits.
Additional Information
Licensing Information
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}}