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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Online Access: | https://doi.org/10.5255/UKDA-SN-853684 |
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ftcessda:dc5f02feaf9180db25b7915b2c025779264e18da61ba2e952b270403e730ac1c 2024-09-15T18:05:44+00:00 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 2019-05-30T00:00:00Z https://doi.org/10.5255/UKDA-SN-853684 en eng 853684 doi:10.5255/UKDA-SN-853684 https://doi.org/10.5255/UKDA-SN-853684 Steiner Ulrich, University of Southern Denmark AGE AGEING LEARNING 2019 Dataset 2019 ftcessda https://doi.org/10.5255/UKDA-SN-853684 2024-07-03T23:32:45Z 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. Dataset Faroe Islands Iceland CESSDA DC Data Catalogue (Consortium of European Social Science Data Archives) |
institution |
Open Polar |
collection |
CESSDA DC Data Catalogue (Consortium of European Social Science Data Archives) |
op_collection_id |
ftcessda |
language |
English |
topic |
AGE AGEING LEARNING 2019 |
spellingShingle |
AGE AGEING LEARNING 2019 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 |
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. |
format |
Dataset |
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 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 |
genre |
Faroe Islands Iceland |
genre_facet |
Faroe Islands Iceland |
op_relation |
853684 doi:10.5255/UKDA-SN-853684 https://doi.org/10.5255/UKDA-SN-853684 |
op_rights |
Steiner Ulrich, University of Southern Denmark |
op_doi |
https://doi.org/10.5255/UKDA-SN-853684 |
_version_ |
1810443249206165504 |