Automatic estimation of dog age: The dogage dataset and challenge

Anna Zamansky, Aleksandr M. Sinitca, Dmitry I. Kaplun, Luisa M.L. Dutra, Robert J. Young

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Automatic age estimation is a challenging problem attracting attention of the computer vision and pattern recognition communities due to its many practical applications. Artificial neural networks, such as CNNs are a popular tool for tackling this problem, and several datasets which can be used for training models are available. Despite the fact that dogs are the most well studied species in animal science, and that ageing processes in dogs are in many aspects similar to those of humans, the problem of age estimation for dogs has so far been overlooked. In this paper we present the DogAge dataset and an associated challenge, hoping to spark the interest of the scientific community in the yet unexplored problem of automatic dog age estimation.

Original languageEnglish
Title of host publicationArtificial Neural Networks and Machine Learning – ICANN 2019
Subtitle of host publicationImage Processing - 28th International Conference on Artificial Neural Networks, 2019, Proceedings
EditorsIgor V. Tetko, Pavel Karpov, Fabian Theis, Vera Kurková
PublisherSpringer Verlag
Number of pages6
ISBN (Print)9783030305079
StatePublished - 2019
Event28th International Conference on Artificial Neural Networks, ICANN 2019 - Munich, Germany
Duration: 17 Sep 201919 Sep 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11729 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference28th International Conference on Artificial Neural Networks, ICANN 2019

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2019.


  • Age estimation
  • Applications of deep learning
  • CNN
  • Computer vision

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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