Abstract
The rapid development of computers makes human-computer interaction possible, and hence more people have been attracted to this subject in several different ways. After searching online about the ways to increase the accuracy. Based on the algorithm of yolov5, this article used the characters from a popular PC game called Counter-Strike: Global Offensive (CSGO). By using the 3 characteristics from the game (Human-T, Human-CT, and Head). This article shows the results of the detection of those 3 by using different numbers of epochs and images. In the two detections, 240 images and 150 epochs, and 500 images and 450 epochs are used. The results of the two detections have a large difference. In the second detection, the result is much better than the first one by having a small change in the dataset. Meanwhile, this article will also mention other ways made to increase the accuracy of the detection, such as the way to label images, etc.
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