Data · dataset · 2021
Portrait Painting Dataset For Different Movements
Listed in Teesside University Research Data Repository
Description
The dataset is created for article: Novel Features for Art Movement Classification of Portrait Paintings The primary data source of the portrait painting dataset in that paper is from WikiArt: A well organized huge database consists of more than 80,000 fine-art paintings in 27 different artistic styles, ranging from fifteen centuries to modern times. We created this new dataset because most of the existing datasets consist of art works with a large variation of painting content.
In our research, we want to focus on portrait paintings from different art movements as portrait artworks are a major painting content in lots of art movements. There are two datasets uploaded, orgimg and faces_6class. Both include six significant art movements in art history: High Renaissance, Impressionism, Northern Renaissance, Post Impressionism, Rococo, and Ukiyo-e.
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The 'orgimg' is a collection of portrait paintings, while 'faces_6class' is a cropped face area from 'orgimg'. Note that there are several images from 'orgimg' that can crop out multiple faces since a certain original image could contain several faces.
Links
Where it is published
- DOI doi.org/10.17632/289kxpnp57.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Image 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/289kxpnp57.1 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |