Home Sleep Monitoring Scene Classification Image Dataset

In the current medical industry, home sleep monitoring is gradually gaining attention. However, due to the lack of systematic image datasets, related research and product development face difficulties. Existing solutions often rely on a small amount of data, making it difficult to achieve large-scale model training and application. To address this issue, this dataset aims to provide a rich set of classified images for home sleep monitoring scenes, helping researchers and developers better understand and analyze sleep states. Data collection uses professional sleep monitoring equipment, capturing images in various home scenes to ensure the diversity and representativeness of the data. Quality control is ensured through three rounds of annotation and expert review to maintain consistency and accuracy in annotations. The data is stored in JPG format, categorized by scene for convenient subsequent training and analysis.