A robust dataset for surgical instrument detection to aid autonomous robotic surgery

A comprehensive surgical instrument dataset named as SID-RAS, which comprises of 6000 high resolution images categorized into nine distinct classes, contributes to the preliminary development of AI-driven robotic surgical assistance systems, which can be extended to various types of surgeries.