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

Figure 1

The training process of emotional labeling of car pictures. Each car image will be extracted with the five theme colors that account for the most significant proportion. The extracted color and picture are combined for data augmentation and then normalized. After data augmentation, the FlexMatch model is used for semi-supervised learning to obtain classification results.