LEMON: A Large Endoscopic MONocular Dataset and Foundation Model for Perception in Surgical Settings

ArXi:2503.19740v4 Announce Type: replace Traditional open-access datasets focusing on surgical procedures are often limited by their small size, typically consisting of fewer than 100 videos and less than 30 hours of footage, which leads to poor model generalization. To address this data limitation, a new dataset called LEMON has been compiled using a novel aggregation pipeline that collects high-resolution videos from online sources.