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annotations_creators: |
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- expert-generated |
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language_creators: |
|
- expert-generated |
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- machine-generated |
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languages: |
|
- Ru |
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licenses: |
|
- afl-3.0 |
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multilinguality: |
|
- monolingual |
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pretty_name: 'The Pages of Early Soviet Performance (PESP) uses machine learning to |
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generate multiple datasets of early-Soviet illustrated periodicals related to the |
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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 |
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first decades after the October Revolution (1917-1932). |
|
|
|
|
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Our starting point is Princeton University Library''s Digital PUL (DPUL) where ten |
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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 |
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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.' |
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size_categories: [] |
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source_datasets: |
|
- original |
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task_categories: |
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- other |
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task_ids: [] |
