Photo Dating by Facial Age Aggregation

We introduce the novel task of Photo Dating by Facial Age Aggregation, which aims to estimate the year a photograph was taken by leveraging information from the faces of people present in the image. To facilitate this research, we publicly release a new dataset containing over 1.6 million annotated faces, primarily from movie stills, with identity and birth year annotations. Uniquely, our dataset provides annotations for multiple individuals within a single image, enabling the study of multi-face information aggregation. We propose a probabilistic framework that formally combines career-based temporal priors with visual evidence from modern face recognition and age estimation models to infer the capture year. Our experiments demonstrate that aggregating evidence from multiple faces consistently improves the performance and the approach significantly outperforms strong, scene-based baselines, particularly for images containing several identifiable individuals.