Real-Time Age Estimation from Facial Images Using YOLO and EfficientNet

Automatic age estimation from facial images is attracting increasing interest due to its many potential applications. Several deep learning-based methods have been proposed to tackle this task; however, they usually require prohibitive resources to run in real-time. In this work, we propose a fully automated system based on YOLOv5 and EfficientNet to perform face detection and subsequent age estimation in real-time. Also, to make the model more robust, EfficientNet was trained on the new MIVIA Age Dataset, released as part of a challenge. The results obtained in the contest are promising, and are strengthened by the lightness of the overall system which in fact is not only effective but also efficient.