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

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Computer Analysis of Images and Patterns (CAIP 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 13053))

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Abstract

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.

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Notes

  1. 1.

    http://gta2021.unisa.it/.

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Authors and Affiliations

  1. Department of Computer Science, University of Bari “Aldo Moro”, Bari, Italy

    Giovanna Castellano, Berardina De Carolis, Nicola Marvulli, Mauro Sciancalepore & Gennaro Vessio

Authors
  1. Giovanna Castellano
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  2. Berardina De Carolis
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  3. Nicola Marvulli
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  4. Mauro Sciancalepore
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  5. Gennaro Vessio
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Corresponding author

Correspondence to Gennaro Vessio .

Editor information

Editors and Affiliations

  1. Cyprus University of Technology, Limassol, Cyprus

    Nicolas Tsapatsoulis

  2. University of Cyprus, Nicosia, Cyprus

    Andreas Panayides

  3. University of Cyprus, Nicosia, Cyprus

    Theo Theocharides

  4. Cyprus University of Technology, Limassol, Cyprus

    Andreas Lanitis

  5. University of Cyprus, Nicosia, Cyprus

    Constantinos Pattichis

  6. University of Salerno, Salerno, Italy

    Mario Vento

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Castellano, G., De Carolis, B., Marvulli, N., Sciancalepore, M., Vessio, G. (2021). Real-Time Age Estimation from Facial Images Using YOLO and EfficientNet. In: Tsapatsoulis, N., Panayides, A., Theocharides, T., Lanitis, A., Pattichis, C., Vento, M. (eds) Computer Analysis of Images and Patterns. CAIP 2021. Lecture Notes in Computer Science(), vol 13053. Springer, Cham. https://doi.org/10.1007/978-3-030-89131-2_25

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  • DOI: https://doi.org/10.1007/978-3-030-89131-2_25

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  • Online ISBN: 978-3-030-89131-2

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