Injection Needle Device Operation Dataset

The current medical industry faces challenges in safety and efficiency in the operation of injection needle devices, especially when training novice operators, due to the lack of sufficient high-quality data to support effective object detection and recognition. Existing solutions often rely on limited manually annotated data, resulting in insufficient annotation accuracy and consistency. This dataset aims to address the data shortage issue in object detection by providing a large volume of high-quality images of injection needle device operations. Data collection uses professional medical equipment photography, ensuring the acquisition of images in real medical environments. All images have undergone multiple rounds of annotation and expert review to ensure high quality. Data is stored in JPG format, and annotation information is stored in JSON format, facilitating subsequent data processing and analysis. The dataset structure is clear, allowing users to quickly get started and use it.