Code and experimental data for the ICDAR 2019 paper by Weinman et al. introducing deep convolutional and recurrent neural networks for end-to-end, open-vocabulary text reading on historical maps.
A poster explaining how the faculty member used a dynamic map and timeline to illustrate events. The map and timeline are tied together so that an entry on one appears on the other.
