Infusion Stand Hook Quantity Detection Image Dataset

In the current medical industry, the frequency of using infusion stands is increasing. However, the detection and management of the number of hooks present challenges. Traditional manual inspection methods are inefficient, prone to errors, and cannot meet the demands of the modern medical environment. Existing automated solutions often lack specificity and cannot accurately identify and count the number of hooks. This dataset aims to support the training of object detection models by providing high-quality image data, thereby achieving precise detection of the number of hooks on infusion stands. Data collection is carried out using high-resolution camera equipment within a standard medical environment to ensure image quality. For quality control, multiple rounds of annotation and consistency checks are carried out to ensure accuracy and consistency of the annotations. Data is stored in JPG format, organized by image ID, facilitating subsequent processing and access.