The Posture_4520_my_yolo_dataset contains 4520 images. According to the ratio of 8:1:1, the training set (3616), the verification set (452), the test set (452).
The main goal is to understand how social category information (e.g., race and gender) influences the recognition of facial expressions that vary in emotional intensity. More specifically, I examine,
Recent developments of social virtual reality (VR) services using avatars have increased the need for facial expression recognition (FER) technology. FER systems are generally implemented using optica