Imaging · dataset · 2022

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.

Listed in Hugging Face Datasets