Social media images of China's terraces

This dataset contains geotagged social media images of China's terraces, sourced from the Sina Weibo microblogging platform (https://weibo.com). Geo-tagged images were collected using Weibo cookies and Python-based scraping tools (available at: https://github.com/dataabc/weibo-search). The search keyword used was "terraces", and the collection timeframe spanned from July 2022 to June 2024. We included only images with clear geographic information located within China. Images of poor quality (e.g., synthesized from multiple images, excessively cluttered, or blurry) and irrelevant content such as advertisements, paintings, or text were removed.
This dataset classified the images into seven distinct categories to represent different types of cultural ecosystem services (CES): landscape, species, structures, indoor, food, activities, and posing. Specifically: (1) Landscape images depict open natural landscapes, such as rice terraces, often with a visible sky. (2) Species images consist of close-up shots of animals or plants. (3) Structures images mainly feature man-made structures, often traditional houses. (4) Indoor images show the interiors of buildings, including dining rooms, bedrooms, etc.. (5) Food images are classified as images depicting food, dishes, and beverages. (6) Activities images capture people physically interacting with the environment, including group photos and folkloric activities. (7) Posing images show people looking into the camera.
This dataset includes a subset of 2,720 randomly selected and manually labeled images, accounting for approximately 5% of the total collected images. Among them, landscape images were the most numerous (1,347), followed by structures (408), activities (480), posing (146), food (153), species (111), and indoor (75).
These images can be used for training classification models. All code used for model training and testing is available at: https://github.com/chen7092/Deep-learning-for-cultural-ecosystem-services-of-terraces.