M2cai16-tool-locations Jun 2026

The dataset has been used to benchmark:

This dataset is designed for (bounding boxes) in laparoscopic cholecystectomy videos. It contains annotations for 16 tools, including their positions in video frames. m2cai16-tool-locations

The is a publicly available dataset used for localized surgical instrument detection in laparoscopic cholecystectomy videos. It was created by researchers at Stanford University by adding spatial bounding box annotations to the original M2CAI 2016 Tool Presence Detection Challenge dataset. Dataset Composition The dataset has been used to benchmark: This

The m2cai16-tool-locations dataset is more than a static collection of bounding boxes – it is a litmus test for how well computer vision handles the messy, reflective, and rapid reality of surgery. While larger and more complex datasets have emerged, the core challenges encoded in those 15,000 frames remain unsolved: robust occlusion handling, real-time inference under smoke, and generalization across patients. It was created by researchers at Stanford University

Consists of 15 laparoscopic surgical videos recorded at 25 fps at the University Hospital of Strasbourg, France.