Camera as weather sensor: Estimating weather information from single images

We estimate weather information from single images, as an important clue to unveil real-world characteristics available in the cyberspace, and as a complementary feature to facilitate computer vision applications. Based on an image collection with geotags, we crawl the associated weather and elevation properties from the web. With this large-scale and rich image dataset, various correlations between weather properties and metadata are observed, and are used to construct computational models based on random forests to estimate weather information for any given image. We describe interesting statistics linking weather properties with human behaviors, and show that image's weather information can potentially benefit computer vision tasks such as landmark classification. Overall, this work proposes a large-scale image dataset with rich weather properties, and provides comprehensive studies on using cameras as weather sensors.