To facilitate weather property estimation from images, a large-scale image dataset associated with rich weather information is developed. Based on the taken time and geographical information of an image, we associate it with weather properties obtained from a weather forecast website. Through data filtering like indoor/outdoor classification and sky region detection, a clean and large-scale image-weather dataset (named Image2Weather dataset) consisting of more than 180,000 photos is built to promote related researches. In addition to reporting statistical characteristics of this dataset, we investigate the relationship between several visual features and weather properties, which then serve as the foundation of interesting applications like weather type classification and temperature estimation. We show effectiveness of weather property estimation based on the Image2Weather dataset, and discuss how it can be leveraged to facilitate related studies in the future.