Syringe Equipment Image Dataset

In the medical equipment field, as the demand for accurate diagnosis and precise treatment continues to increase, syringes, as common medical devices, face numerous challenges in detection and recognition. Currently, existing detection systems on the market often rely on traditional image processing techniques, leading to frequent occurrences of missed detections and false positives. Therefore, the automated detection needs for syringe equipment urgently need to be addressed. This dataset aims to provide high-quality syringe images to support the training and testing of deep learning object detection models. Data collection was conducted using professional cameras in a standardized medical environment to ensure image clarity and consistency. The data has undergone multiple rounds of annotation and expert review, with annotation accuracy exceeding 95%. The data is stored in JPEG format, with a clear organizational structure, facilitating subsequent model training and evaluation.