Botanical Illustrations
Info
Data Set created: January 2020
Data Set updated: 17 May 2023
Content
Images of botanical illustrations from the 19th century.
Data Provenance and Quality
The images provided in this data set were digitized in 2015. In 2020 they were joined to a collection for the platform ÖNB Digital. The Labs Team made them available as IIIF International Image Interoperability Framework. Standardizes the provision of images and audiovisual data from servers in different web environments... Joint Photographic Experts Group. Commonly used method of lossy compression for digital images, especially for images created by digital photography... pixels per inch. Unit of measurement for the dot density of images, refers to the level of detail of the image
Historical Background
The Habsburgian emperor Franz I./II. had a botanical garden built for himself behind the Hofburg building, an area now know as Burggarten. Franz I. and his successor Ferdinand I. commissioned artists, namely Johann Jebmayer (1770–1858), Matthias Schmutzer (1751–1824) and Leopold Brunner (1788–1866) to paint plants of this garden, mostly in gouache technique.
Maintenance
This data set can be updated irregularly.
Links
- 1.855
- Documents
- 1.855
- Images
- 1.855
- IIIF Manifests

Illustration of a Camellia japonica drawn by Johann Jebmayer
Reuse
Information on Rights and Reuse
Cite as
Preview
Documents in the Data Set
Data Set Items
Data
Download and Access Options
Sample
- 30 selected images from different artists
- 30 .jpeg files, 30 metadata records
- Readme explanation of properties used
- .zip archive (142.6 MB)
Metadata Records
- Bibliographic metadata for all documents
- Readme explanation of properties used
- .csv table (1.3 MB)
IIIF Collection
- IIIF collection with URLs to all images
- 1.855 images in .jpeg format with metadata
- .json file format
Use Cases
Areas of Application Related to the Data Set
Possible Uses
The images in the data set could be used to train a CV Computer Vision is a field of artificial intelligence (AI) focused on enabling computers to interpret and understand visual information from the wor... Machine Learning (ML) is a branch of artificial intelligence (→ AI) focused on developing algorithms and statistical models that allow computers to le...