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First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. The authors propose a new large-scale scene image dataset which is 60 times bigger than the current standard SUN dataset. They show that deep networks learned on object centric datasets like ImageNet are not optimal for scene recognition and training similar networks with large amounts of scene images improves their performance substantially. The other way around is also demonstrated empirically i.e. the later features work better on object centric image classification tasks. Overall the paper is well written, addresses an important problem in computer vision.