We develop and apply a deep learning-based computer vision pipeline to automatically identify crew members in archival photographic imagery taken on-board the International Space Station. Our approach is able to quickly tag thousands of images from public and private photo repositories without human supervision with high degrees of accuracy,…[Read more]

We develop and apply a deep learning-based computer vision pipeline to automatically identify crew members in archival photographic imagery taken on-board the International Space Station. Our approach is able to quickly tag thousands of images from public and private photo repositories without human supervision with high degrees of accuracy,…[Read more]

We develop and apply a deep learning-based computer vision pipeline to automatically identify crew members in archival photographic imagery taken on-board the International Space Station. Our approach is able to quickly tag thousands of images from public and private photo repositories without human supervision with high degrees of accuracy,…[Read more]

“Chapter 7: Maintaining the City Enslaved Labor and Trade in Roman Philippi” in Philippi, From Colonia Augusta to Communitas Christiana: Religion and Society in Transition, edited by Steven J. Friesen, Michalis Lychounas, and Daniel N. Schowalter (Leiden: Brill, 2021).