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In many developed countries, human life expectancy has doubled over the last180 years from ~40 to ~80 years. Underlying this great advance is a change inhow we age, yet our understanding of this change remains limited. Here wepresent a unique database rich with possibilities to study the human ageingprocess: the AgeGuess.org database on people's perceived and chronologicalages. Perceived age (i.e. how old one looks to others) correlates withbiological age, a measure of a person's health condition in comparison to theaverage of same-aged peers. Determining biological age usually involveselaborate molecular and cellular biomarkers. Using instead perceived age as abiomarker of biological age enables us to collect large amounts of data onbiological age through a citizen science project, where people upload picturesof themselves and guess the ages of other people at http://www.ageguess.org. Itfurthermore allows to collect data retrospectively, because people can uploadphotographs of themselves when they were younger or of their parents andgrandparents. We can thus study the temporal variation in the gap betweenperceived age and chronological age to address questions such as whether we nowage slower or delay ageing until older ages. The here presented perceived agedata span birth cohorts from the years 1877 to 2014. Since 2012 the databasehas grown to now contain around 200,000 perceived age guesses. More than 4000citizen scientists from over 120 countries of origin have uploaded ~5000 facialphotographs. We detail how the data are collected, where the data can bedownloaded free of charge, and the contained variables. Beyond ageing research,the data present a wealth of possibilities to study how humans guess ages andto use this knowledge for instance in advancing and testing emergingapplications of artificial intelligence and deep learning algorithms.

The AgeGuess database: an open online resource on chronological and perceived ages of people aged 3-100