World-wide scale geotagged image dataset for automatic image annotation and reverse geotagging
Hatem Mousselly-Sergieh, Daniel Watzinger, Bastian Huber, Mario Döller, Elöd Egyed-Zsigmond, Harald Kosch · 2014
In this paper, a dataset of geotagged photos on a world-wide scale is presented. The dataset contains a sample of more than 14 million geotagged photos crawled from Flickr with the corresponding metadata. To guarantee the spatial representativeness of the dataset, a crawling approach based on the small-world phenomena and the Flickr friendship's graph is applied. Furthermore, the noisiness of user-provided tags is reduced through an automatic tag cleaning approach. To enable efficient retrieval, photos in the dataset are indexed based on their location information using quad-tree data structure. The dataset can assists different applications, especially, search-based automatic image annotation and reverse geotagging.