Datasets:
annotations_creators:
- expert-generated
language: []
language_creators: []
license:
- other
multilinguality: []
pretty_name: V4Design Europeana style dataset
size_categories: []
source_datasets: []
tags: []
task_categories:
- image-classification
task_ids: []
dataset_info:
features:
- name: id
dtype: string
- name: url
dtype: string
- name: uri
dtype: string
- name: style
dtype:
class_label:
names:
'0': Rococo
'1': Baroque
'2': Other
- name: rights
dtype: string
- name: image
dtype: image
splits:
- name: train
num_bytes: 536168550.923
num_examples: 1613
download_size: 535393230
dataset_size: 536168550.923
Dataset Card for V4Design Europeana style dataset
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
Dataset Summary
This dataset contains:
1614 paintings belonging to the categories Baroque, Rococo, and Other. The images were obtained using the Europeana Search API, selecting open objects from the art thematic collection. 24k images were obtained, from which the current dataset was derived. The labels were added by the V4Design team, using a custom annotation tool. As described in the project documentation, other categories were used besides Baroque and Rococo. But for the sake of training a machine learning model we have retained only the categories with a significant number of annotations source
This version of the dataset is generated using the CSV file hosted on Zenodo. This CSV file contains the labels with URLs for the relevant images. Some of these URLs no longer resolve to an image. For consitency with the original dataset and if these URLs become valid again, these rows of the data are preserved here. If you want only successfully loaded images in your dataset, you can filter out the missing images as follows.
ds = ds.filter(lambda x: x['image'] is not None)
Supported Tasks and Leaderboards
This dataset is primarily intended for image-classification
.
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
@dataset{europeana_2021_4896487,
author = {Europeana and
V4Design},
title = {V4Design/Europeana style dataset},
month = jun,
year = 2021,
publisher = {Zenodo},
doi = {10.5281/zenodo.4896487},
url = {https://doi.org/10.5281/zenodo.4896487}
}
Contributions
Thanks to @davanstrien for adding this dataset.