Artificial intelligence (AI) can support metadata creation for images by generating descriptions, titles, and keywords for digital collections in libraries. Many AI options are available, ranging from cloud-based corporate software solutions, including Microsoft Azure Custom Vision and Google Cloud Vision, to open-source locally hosted software packages. This case study examines the feasibility of deploying the open-source, locally hosted AI software, Sheeko, and the accuracy of the descriptions generated for images using two of the pre-trained models. The study aims to ascertain if Sheeko’s AI would be a viable solution for producing metadata in the form of descriptions, or titles for digital collections in Libraries and Cultural Resources at the University of Calgary.
https://journal.code4lib.org/articles/17186
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |
