The increasing interest towards visual geolocation (or visual place recognition) has been noticeable in recent years. A fast and efficient system able to identify a particular place around the globe, that uses only the visual content of a query image, has been requested in many different fields, going from virtual reality to self driving cars and exploratory robots. Advances in artificial intelligence and dense open source datasets boosted the research community on proposing a set of alternative ways to tackle this challenge, being retrieval and classification two of the most diffused approaches, each of which propose its own advantages and weaknesses.