We release a large-scale endoscopic video dataset covering seven types of intraoperative adverse events (iAEs) across heterogeneous surgical domains. Source domain: Cholec80 is re-annotated for iAEs detection from laparoscopic cholecystectomy videos. Target domain: dViAEs comprises robot-assisted colorectal and HPB surgery videos.
Video anomaly detection (VAD) is a challenging task aiming to recognize anomalies in video frames, and existing large-scale VAD researches primarily focus on road traffic and human activity scenes. In industrial scenes, there are often a variety of unpredictable anomalies, and the VAD method can play a significant role in these scenarios. However, there is a lack of applicable datasets and methods specifically tailored for industrial production scenarios due to concerns regarding privacy and security.
