Infusion Pump Equipment Image Dataset

The current medical industry faces numerous challenges in monitoring and managing infusion pump equipment, such as existing technologies failing to accurately identify equipment malfunctions and usage status, leading to medical incidents and resource waste. Existing solutions often rely on manual inspections, which are inefficient and prone to errors. This dataset aims to provide high-quality images of infusion pumps to support the training of object detection algorithms, thereby enhancing the automation and accuracy of equipment monitoring. The dataset includes images from multiple angles and environments to ensure diversity and representativeness. Data collection is conducted using high-resolution cameras in a standardized medical environment to ensure clear and usable images. We have implemented multiple rounds of annotation and consistency checks to ensure data accuracy and reliability. The data is stored in JPEG format and organized by category and environment for easy processing and retrieval.