Learning Deep Features for Scene Recognition using Places Database

Scene recognition is one of the hallmark tasks of computer vision, allowing defi-nition of a context for object recognition. Whereas the tremendous recent progress in object recognition tasks is due to the availability of large datasets like ImageNet and the rise of Convolutional Neural Networks (CNNs) for learning high-level fea-tures, performance at scene recognition has not attained the same level of success. This may be because current deep features trained from ImageNet are not competi-tive enough for such tasks. Here, we introduce a new scene-centric database called Places with over 7 million labeled pictures of scenes. We propose new methods to compare the density and diversity of image datasets and…