Conference paper Open Access

Using CLIP to extract and analyze images of the family in 3,000 Dutch-language children's books, 1800-1940.

Thomas Smits; Paavo van der Eecken; Vanessa Joosen

This paper discusses the first step in a larger research project that uses computational techniques to analyze the multimodal representation of the family in the ~3,000 digitized Dutch-language children’s books (1800-1940) of the DBNL. We present a method that applies the multimodal machine learning (ML) model CLIP to classify images of families from the total 38,363 images in this corpus.

Files (2.8 MB)
Name Size
2022DHBelenelux_paper_32(1).pdf
md5:ef2e6ec8caad1f1b472afcd26239b1a4
2.8 MB Download
71
47
views
downloads
All versions This version
Views 7171
Downloads 4747
Data volume 130.1 MB130.1 MB
Unique views 6464
Unique downloads 4747

Share

Cite as