Automatic object detection using YOLOv8 is effective for behavioral research, particularly for tracking surgical tools. The study shows that YOLOv8 can detect objects accurately even with a small dataset (100-350 images). However, it struggles with objects in different backgrounds. Training on diverse backgrounds improves detection accuracy. YOLOv8 is easy to use and can be a game-changer for behavioral research requiring object annotation in videos. The study tested YOLOv8 on surgical tool detection and other objects like transparent bowls. Results showed high detection accuracy with sufficient images, but performance varied with background changes. Training new models for different backgrounds improved detection, but training a single model on all backgrounds also performed well. The study highlights the importance of image quality, object size, and position in detection accuracy. YOLOv8 outperformed older versions like YOLOv3 and YOLOv5 in detection accuracy and speed. The study concludes that YOLOv8 is a reliable tool for behavioral research with object detection needs.Automatic object detection using YOLOv8 is effective for behavioral research, particularly for tracking surgical tools. The study shows that YOLOv8 can detect objects accurately even with a small dataset (100-350 images). However, it struggles with objects in different backgrounds. Training on diverse backgrounds improves detection accuracy. YOLOv8 is easy to use and can be a game-changer for behavioral research requiring object annotation in videos. The study tested YOLOv8 on surgical tool detection and other objects like transparent bowls. Results showed high detection accuracy with sufficient images, but performance varied with background changes. Training new models for different backgrounds improved detection, but training a single model on all backgrounds also performed well. The study highlights the importance of image quality, object size, and position in detection accuracy. YOLOv8 outperformed older versions like YOLOv3 and YOLOv5 in detection accuracy and speed. The study concludes that YOLOv8 is a reliable tool for behavioral research with object detection needs.