Places205 (part of the MIT Places Database) is a large scene-centric image dataset for scene recognition / scene classification. The dataset contains 205 scene categories and roughly 2.5 million images for training (the project reports ~2,448,873 images in some listings). Standard splits include a validation set with 100 images per category (20,500 images total) and a test set with 200 images per category (41,000 images total). The dataset was released by the CSAIL Vision group (MIT) and is intended for academic research and educational use (license restricts commercial redistribution of the images). Homepage and download information are provided by the MIT Places project.
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