Images naturally appear alongside text in a wide variety of media, such as books, magazines, newspapers, and in online articles. This type of multi-modal data offers an interesting basis for vision and language research but most existing datasets use crowdsourced text, which removes the images from their original context. In this paper, we introduce the KBK-1M dataset of 1.6 million images in their original context, with co-occurring texts found in Dutch newspapers from 1922-1994. The images are digitally scanned photographs, cartoons, sketches, and weather forecasts; the text is generated from OCR scanned blocks. The dataset is suitable for experiments in automatic image captioning, image-article matching, object recognition, and data-to-text generation for weather forecasting. It can also be used by humanities scholars to analyse photographic style changes, the representation of people and societal issues, and new tools for exploring photograph reuse via image-similarity-based search.

Additional Metadata
Keywords Digital humanities, Digitised newspapers, Language and vision
Conference International Conference on Language Resources and Evaluation
Citation
Elliott, D, & (Martijn) Kleppe, M. (2016). 1 million captioned Dutch newspaper images. In Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016 (pp. 3054–3058).