The AgeGuess database, an open online resource on chronological and perceived ages of people aged 5–100

Abstract

In many developed countries, human life expectancy has doubled over the last 180 years. Underlying this higher life expectancy is a change in how we age. Biomarkers of ageing are used to quantify changes in the aging process and to determine biological age. Perceived age is such a biomarker that correlates with biological age. Here we present a unique database rich with possibilities to study the human ageing process. Using perceived age enables us to collect large amounts of data on biological age through a citizen science project, where people upload facial pictures and guess the ages of other people at www.ageguess.org. The data on perceived age we present here span birth cohorts from the years 1877 to 2012. The database currently contains around 220,000 perceived age guesses. Almost 4500 citizen scientists from over 120 countries of origin have uploaded ~4700 facial photographs. Beyond studying the ageing process, the data present a wealth of possibilities to study how humans guess ages and who is better at guessing ages.

Human Face (Sketch/Photo) Age Group Estimation and Classification Using Perfect Face Ratios and Levenshtein Distance

“…The x-axis represents the kind of the used average and the y-axis represents the estimation rate. The results clearly demonstrate the superiority of our algorithm to more estimate the [0-9] and the [20][21][22][23][24][25][26][27][28][29] age groups, but the last rate of estimation is that of the [30-39] age group.…”

“…In [19] the authors use a beep belief network in their facial human age estimation. In [20] the authors use a specific domain transfer learning in age estimation. In [21] authors use AgeGuess database, it is an open online resource on chronological and perceived ages of people aged 5-100.…”

“…To estimate the real facial age. Jones et al [20] present AgeGuess, a simple on-line database (game) in which you can post your photos, have other people guess your age, as well as guess the age of other users. This database is an open online resource on chronological and perceived ages of people aged between 5-100.…”

“…In offline process of the facial age group estimation and classification System, we grouped the dataset of facial photos into seven data subsets based on the value of age group that it represents:[0-9] for the first decade, [10][11][12][13][14][15][16][17][18][19] for the second decade, [20][21][22][23][24][25][26][27][28][29] 5 summarize and shown the twenty-eight referential faces per averages per age group decade. The second column contained the seven referential faces generated by arithmetic average; they are in orange color.…”

“…The arithmetic mean helps to classify [20][21][22][23][24][25][26][27][28][29]  Large memory, powerful operating system and efficient platform are demanded.…”