README.md

annotations_creators:
- expert-generated
language_creators:
- expert-generated
- machine-generated
languages:
- Ru
licenses:
- afl-3.0
multilinguality:
- monolingual
pretty_name: 'The Pages of Early Soviet Performance (PESP) uses machine learning to
  generate multiple datasets of early-Soviet illustrated periodicals related to the
  performing arts. By using computer vision techniques and training a YOLO (You Only
  Look Once) real-time object detection model, we are producing textual and image
  data that will facilitate new avenues of research about Soviet culture during the
  first decades after the October Revolution (1917-1932).


  Our starting point is Princeton University Library''s Digital PUL (DPUL) where ten
  titles - totaling 526 issues and approximately 26,000 pages - of Soviet performance
  journals have been digitized and can be freely viewed online. Journals are a diverse
  and complex genre: taken together, this collection contains hundreds of thousands
  of articles, poems, editorial commentary, advertisements as well as images, illustrations
  and graphic art. Today, researchers can browse the journals and view and download
  high-quality page images on DPUL.'
size_categories: []
source_datasets:
- original
task_categories:
- other
task_ids: []