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University-1652 is a multi-view multi-source benchmark for drone-based geo-localization released by author layumi for ACM Multimedia 2020. It contains annotations for 1,652 buildings across 72 universities globally, providing a framework for matching drone-view queries against satellite-view galleries. The data supports cross-view image retrieval tasks using imagery from drones, satellites, and ground-level sources.
This dataset is primarily used as a benchmark for drone-based geo-localization; users should refer to the ACM Multimedia 2020 paper for specific baseline implementation details.