Yang, Hsiu-WeiLiu, LinqingMilligan, IanRuest, NickLin, Jimmy2019-04-232019-04-232019Hsiu-Wei Yang, Linqing Liu, Ian Milligan, Nick Ruest, and Jimmy Lin. “Scalable Content-Based Analysis of Images in Web Archives with TensorFlow and the Archives Unleashed Toolkit.” Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, Vol. 19 (2019).Hsiu-Wei Yang, Linqing Liu, Ian Milligan, Nick Ruest, and Jimmy Lin. “Scalable Content-Based Analysis of Images in Web Archives with TensorFlow and the Archives Unleashed Toolkit.” Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, Vol. 19 (2019).978-1-7281-1547-4/19http://hdl.handle.net/10315/36161https://doi.org/10.1109/JCDL.2019.00107We demonstrate the integration of the Archives Unleashed Toolkit, a scalable platform for exploring web archives, with Google's TensorFlow deep learning toolkit to provide scholars with content-based image analysis capabilities. By applying pretrained deep neural networks for object detection, we are able to extract images of common objects from a 4TB web archive of GeoCities, which we then compile into browsable collages. This case study illustrates the types of interesting analyses enabled by combining big data and deep learning capabilities.enTensorFlowmachine learningimage analysisweb archivesApache SparkPySparkArticle