Car Emotion Labeling Based on Color-SSL Semi-Supervised Learning Algorithm by Color Augmentation

Figure 3

Main process of SSL. Semi-supervised learning (SSL) is the combination of supervised learning and unsupervised learning. SSL uses a small number of tagged examples and many unlabeled data, from which the model must learn and predict new examples. The basic process involves using existing tagged data to tag the remaining unlabeled data, thereby effectively helping to increase training data.