Surgical instrument detection is a vital task in analyzing images of laparoscopic surgery. This study introduces a strong method for detecting surgical instruments using the YOLOv8 model. The evaluation results proves that this model exhibits high accuracy and outperforms previous approaches. Additionally, a web interface is developed for convenient remote monitoring of the instruments. |