Google-Landmarks: A New Dataset and Challenge for Landmark Recognition (Google Research Blog)

Google Research Blog: Google-Landmarks: A New Dataset and Challenge for Landmark Recognition. “Today, we are excited to advance instance-level recognition by releasing Google-Landmarks, the largest worldwide dataset for recognition of human-made and natural landmarks. Google-Landmarks is being released as part of the Landmark Recognition and Landmark Retrieval Kaggle challenges, which will be the focus of the CVPR’18 Landmarks workshop. The dataset contains more than 2 million images depicting 30 thousand unique landmarks from across the world (their geographic distribution is presented below), a number of classes that is ~30x larger than what is available in commonly used datasets. Additionally, to spur research in this field, we are open-sourcing Deep Local Features (DELF), an attentive local feature descriptor that we believe is especially suited for this kind of task.”