GSV-Cities

홈페이지 · 논문 16편

GSV-Cities is a large-scale dataset for training deep neural network for the task of Visual Place Recognition. The dataset contains more than 530k images: * There are more than 62k different places, spread across multiple cities around the globe. * Each place is depited by at least 4 images (up to 20 images). * All places are physically distant (at least 100 meters between any pair of places).