Surgical Robot Operation Status Classification Image Dataset

The current medical industry is gradually popularizing the use of robotic technology in surgeries. However, due to the complex and ever-changing states during surgery, existing datasets struggle to cover various operational states, resulting in suboptimal model training. Existing solutions often lack sufficient high-quality labeled images, limiting the efficacy of machine learning algorithms. This dataset aims to provide a rich array of surgical robot operation status images to help researchers develop more accurate classification models. Data is captured using high-resolution cameras in real surgical environments to ensure authenticity and reliability. For quality control, the data undergoes multiple rounds of labeling, with consistency checks and expert reviews of the labeling results to ensure data quality. Data is stored in JPG format, organized into folders for convenient subsequent use and management. The dataset structure is clear, allowing users to quickly find the information they need.