Published October 22, 2022
| Version 1.0
Dataset
Open
DEArt: Dataset of European Art
Authors/Creators
- 1. Barcelona Supercomputing Center
Contributors
- 1. Barcelona Supercomputing Center
- 2. Europeana Foundation
Description
DEArt is an object detection and pose classification dataset meant to be a reference for paintings between the XIIth and the XVIIIth centuries. It contains more than 15000 images, about 80% non-iconic, aligned with manual annotations for the bounding boxes identifying all instances of 69 classes as well as 12 possible poses for boxes identifying human-like objects. Of these, more than 50 classes are cultural heritage specific and thus do not appear in other datasets; these reflect imaginary beings, symbolic entities and other categories related to art.
Notes
This research has been supported by the Saint George on a Bike project 2018-EU-IA-0104, co-financed by the Connecting Europe Facility of the European Union.
Files
annots_pub.zip
Files
(18.2 GB)
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Additional details
Identifiers
Related works
- Is described by
- Conference paper: 10.48550/arXiv.2211.01226 (DOI)