Google-Landmarks: A New Dataset and Challenge for Landmark Recognition

Google-Landmarks is the largest worldwide dataset for recognition of human-made and natural landmarks. As research begins to focus more on fine-grained and instance-level recognition problems – instead of recognizing general entities such as buildings, mountains and (of course) cats, many researchers are designing machine learning algorithms capable of identifying the Eiffel Tower, Mount Fuji or Persian cats. This large annotated dataset could provide a significant boost for research in this area.


Want to receive more content like this in your inbox?