The AgeGuess database on chronological and perceived ages of people aged 3-100, 2012-2019

The here presented perceived age data span birth cohorts from the years 1877 to 2014. Since 2012 the database has grown to now contain around 200,000 perceived age guesses. More than 4000 citizen scientists from over 120 countries of origin have uploaded ~5000 facial photographs. Beyond ageing resea...

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Main Author: Ulrich, S, University of Southern Denmark
Language:English
Published: 2019
Subjects:
AGE
Online Access:https://doi.org/10.5255/UKDA-SN-853684
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spelling fttriple:oai:gotriple.eu:dc5f02feaf9180db25b7915b2c025779264e18da61ba2e952b270403e730ac1c 2023-05-15T16:11:05+02:00 The AgeGuess database on chronological and perceived ages of people aged 3-100, 2012-2019 Ulrich, S, University of Southern Denmark United States United Kingdom Denmark France Canada Mexico Sweden Germany (October 1990-) Italy Brazil Belgium Netherlands India Russia Philippines Argentina Norway Ireland Spain South Africa Austria Australia China Colombia Indonesia Poland Estonia Portugal Israel Finland New Zealand Malaysia Switzerland Chile South Korea Venezuela Serbia Pakistan Peru Japan Uruguay Lithuania Iran Slovakia Iceland Thailand Vietnam Kazakhstan Greece Egypt Croatia Saudi Arabia Puerto Rico Hungary Hong Kong Georgia Costa Rica Belize Bangladesh Zimbabwe Ukraine Turkey Taiwan Singapore Czech Republic Guadeloupe Bulgaria Belarus Uzbekistan Sri Lanka Syria Slovenia Romania Latvia Oman Qatar Niger Kenya Jordan Jamaica Guatemala Faroe Islands Ecuador 2019-05-30 https://doi.org/10.5255/UKDA-SN-853684 en eng 853684 doi:10.5255/UKDA-SN-853684 other AGE AGEING LEARNING 2019 demo envir 2019 fttriple https://doi.org/10.5255/UKDA-SN-853684 2023-01-22T18:03:28Z The here presented perceived age data span birth cohorts from the years 1877 to 2014. Since 2012 the database has grown to now contain around 200,000 perceived age guesses. More than 4000 citizen scientists from over 120 countries of origin have uploaded ~5000 facial photographs. Beyond ageing research, the data present a wealth of possibilities to study how humans guess ages and to use this knowledge for instance in advancing and testing emerging applications of artificial intelligence and deep learning algorithms. In many developed countries, human life expectancy has doubled over the last 180 years from ~40 to ~80 years. Underlying this great advance is a change in how we age, yet our understanding of this change remains limited. Here we present a unique database rich with possibilities to study the human ageing process: the AgeGuess.org database on people’s perceived and chronological ages. Perceived age (i.e. how old one looks to others) correlates with biological age, a measure of a person’s health condition in comparison to the average of same-aged peers. Determining biological age usually involves elaborate molecular and cellular biomarkers. Using instead perceived age as a biomarker of biological age enables us to collect large amounts of data on biological age through a citizen science project, where people upload pictures of themselves and guess the ages of other people. It furthermore allows to collect data retrospectively, because people can upload photographs of themselves when they were younger or of their parents and grandparents. We can thus study the temporal variation in the gap between perceived age and chronological age to address questions such as whether we now age slower or delay ageing until older ages. Other/Unknown Material Faroe Islands Iceland Unknown Argentina Canada Faroe Islands New Zealand Norway Uruguay
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic AGE
AGEING
LEARNING
2019
demo
envir
spellingShingle AGE
AGEING
LEARNING
2019
demo
envir
Ulrich, S, University of Southern Denmark
The AgeGuess database on chronological and perceived ages of people aged 3-100, 2012-2019
topic_facet AGE
AGEING
LEARNING
2019
demo
envir
description The here presented perceived age data span birth cohorts from the years 1877 to 2014. Since 2012 the database has grown to now contain around 200,000 perceived age guesses. More than 4000 citizen scientists from over 120 countries of origin have uploaded ~5000 facial photographs. Beyond ageing research, the data present a wealth of possibilities to study how humans guess ages and to use this knowledge for instance in advancing and testing emerging applications of artificial intelligence and deep learning algorithms. In many developed countries, human life expectancy has doubled over the last 180 years from ~40 to ~80 years. Underlying this great advance is a change in how we age, yet our understanding of this change remains limited. Here we present a unique database rich with possibilities to study the human ageing process: the AgeGuess.org database on people’s perceived and chronological ages. Perceived age (i.e. how old one looks to others) correlates with biological age, a measure of a person’s health condition in comparison to the average of same-aged peers. Determining biological age usually involves elaborate molecular and cellular biomarkers. Using instead perceived age as a biomarker of biological age enables us to collect large amounts of data on biological age through a citizen science project, where people upload pictures of themselves and guess the ages of other people. It furthermore allows to collect data retrospectively, because people can upload photographs of themselves when they were younger or of their parents and grandparents. We can thus study the temporal variation in the gap between perceived age and chronological age to address questions such as whether we now age slower or delay ageing until older ages.
author Ulrich, S, University of Southern Denmark
author_facet Ulrich, S, University of Southern Denmark
author_sort Ulrich, S, University of Southern Denmark
title The AgeGuess database on chronological and perceived ages of people aged 3-100, 2012-2019
title_short The AgeGuess database on chronological and perceived ages of people aged 3-100, 2012-2019
title_full The AgeGuess database on chronological and perceived ages of people aged 3-100, 2012-2019
title_fullStr The AgeGuess database on chronological and perceived ages of people aged 3-100, 2012-2019
title_full_unstemmed The AgeGuess database on chronological and perceived ages of people aged 3-100, 2012-2019
title_sort ageguess database on chronological and perceived ages of people aged 3-100, 2012-2019
publishDate 2019
url https://doi.org/10.5255/UKDA-SN-853684
op_coverage United States
United Kingdom
Denmark
France
Canada
Mexico
Sweden
Germany (October 1990-)
Italy
Brazil
Belgium
Netherlands
India
Russia
Philippines
Argentina
Norway
Ireland
Spain
South Africa
Austria
Australia
China
Colombia
Indonesia
Poland
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Portugal
Israel
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Malaysia
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Guadeloupe
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Uzbekistan
Sri Lanka
Syria
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Romania
Latvia
Oman
Qatar
Niger
Kenya
Jordan
Jamaica
Guatemala
Faroe Islands
Ecuador
geographic Argentina
Canada
Faroe Islands
New Zealand
Norway
Uruguay
geographic_facet Argentina
Canada
Faroe Islands
New Zealand
Norway
Uruguay
genre Faroe Islands
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genre_facet Faroe Islands
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op_relation 853684
doi:10.5255/UKDA-SN-853684
op_rights other
op_doi https://doi.org/10.5255/UKDA-SN-853684
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