Scalable Content-Based Analysis of Images in Web Archives with TensorFlow and the Archives Unleashed Toolkit


We 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.

Proceedings of the ACM/IEEE-CS on Joint Conference on Digital Libraries