Blood Collection Needle Equipment Operation Dataset

The current medical industry faces a high level of concern for the safety and efficiency of equipment operation, especially in the use of medical devices such as blood collection needles, where improper operation can pose safety risks to patients. Current solutions mostly rely on manual monitoring, but there are limitations such as inefficiency and human interference. This dataset aims to help develop automated monitoring systems by providing high-quality object detection data to improve the safety and efficiency of equipment operation. The dataset includes real operation images from multiple hospitals, captured using high-resolution cameras in a standardized environment to ensure image clarity and consistency. To ensure data quality, we adopted multiple rounds of annotation and expert review mechanisms to ensure consistency and accuracy of the annotations. The data is stored in JPG format, with each image containing annotated bounding boxes and category information, facilitating subsequent deep learning model training.