{"url":"/dataset/lsun","name":"LSUN","full_name":"Large-scale Scene UNderstanding Challenge","description_markdown":"The Large-scale Scene Understanding (**LSUN**) challenge aims to provide a different benchmark for large-scale scene classification and understanding. The LSUN classification dataset contains 10 scene categories, such as dining room, bedroom, chicken, outdoor church, and so on. For training data, each category contains a huge number of images, ranging from around 120,000 to 3,000,000. 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