Places: A 10 Million Image Database for Scene Recognition

  title={Places: A 10 Million Image Database for Scene Recognition},
  author={Bolei Zhou and Agata Lapedriza and Aditya Khosla and Aude Oliva and Antonio Torralba},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
The rise of multi-million-item dataset initiatives has enabled data-hungry machine learning algorithms to reach near-human semantic classification performance at tasks such as visual object and scene recognition. Here we describe the Places Database, a repository of 10 million scene photographs, labeled with scene semantic categories, comprising a large and diverse list of the types of environments encountered in the world. Using the state-of-the-art Convolutional Neural Networks (CNNs), we… CONTINUE READING
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