Infusion Stand Usage State Classification Image Dataset

The current medical industry faces challenges like inefficiency in equipment management and scarcity of nursing resources, especially in the status monitoring of medical equipment such as infusion stands. Traditional manual inspection methods often fail to meet the needs for quick responses. Existing image recognition solutions lack accuracy in complex environments, limiting the real-time monitoring capacity of medical institutions regarding equipment status. This dataset aims to assist researchers and developers in improving the application effectiveness of image classification technology in medical equipment status monitoring through high-quality image data. The dataset includes images of infusion stands from different ward environments, captured in high resolution to ensure clear visibility. During data collection, professional cameras were used to shoot in evenly lit environments, followed by multiple rounds of labeling and expert review to ensure labeling consistency and accuracy. Data is stored in JPEG format, organized by image ID for quick retrieval and use.