Social Relation Dataset
Introduced by Zhang et al. in Learning Social Relation Traits from Face Images
Social Relation Dataset is a dataset for social relation trait prediction from face images. Traits are based on the interpersonal circle proposed by Kiesler, where human relations are divided into 16 segments. Each segment has its opposite side in the circle, such as 'friendly and hostile'. The dataset contains 8,306 images chosen from the internet and movies. Each image is labelled with faces’ bounding boxes and their pairwise relations.
Source: Open MMLabPapers
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