Scene Detection in De Boer Historical Photo Collection
Published in ICAART 2021, 2021
Recommended citation: Wevers, M. (2021). Scene Detection in De Boer Historical Photo Collection. In A. P. Rocha, L. Steels, & J. van den Herik (Eds.), ICAART 2021 : Proceedings of the 13th International Conference on Agents and Artificial Intelligence : February 4-6, 2021. - Volume 1: ARTIDIGH 2021, Vienna, Austria (pp. 601-610). SciTePress https://hdl.handle.net/11245.1/7a0b6c4a-ba46-4367-ba4a-f2258c9ac70a
This paper demonstrates how transfer learning can be used to improve scene detection applied to a historical press photo collection. After applying transfer learning to a pre-trained Places-365 ResNet-50 model, we achieve a Top-1 accuracy of .68 and a Top-5 accuracy of .89 on our data set, which consists of 132 categories. In addition to describing our annotation and training strategy, we also reflect on the use of transfer learning and the evaluation of computer vision models for heritage institutes.
Recommended citation: Wevers, M. (2021). Scene Detection in De Boer Historical Photo Collection. In A. P. Rocha, L. Steels, & J. van den Herik (Eds.), ICAART 2021 : Proceedings of the 13th International Conference on Agents and Artificial Intelligence : February 4-6, 2021. - Volume 1: ARTIDIGH 2021, Vienna, Austria (pp. 601-610). SciTePress