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Facial age estimation is the use of artificial intelligence to estimate the age of a person based on their facial features. Computer vision techniques are used to analyse the facial features in the images of millions of people whose age is known and then deep learning is used to create an algorithm that tries to predict the age of an unknown person. [1]
Fotor is a multi-platform photo editing software. [3] It was first launched in 2012 and was dubbed "Photoshop Lite" by the BBC. [4] Fotor's software is available on mobile devices, desktop computers, and online as a web app. [5] It offers a suite of image editing tools and features for users to edit and enhance photos quickly and easily.
Since 20 May 2013, 1TB free, 200MB per image, all photos display, original files downloadable. Starting January 8 of 2019, free accounts will be limited to 1000 images. The 1TB limit for Pro accounts will be removed. [8] Fotki: Estonia [9] / Fotki, Inc. Free registration photo sharing service and communication portal. Yes Yes 1,250,000 [10]
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{{Birth date and age}} – used on most biographical entries {{Birth date and age2}} – calculates age at a specified date {{Birth based on age as of date}} – used when a reference mentions the age of a person as of the date of the reference's publication {{Birth year and age}} {} {{Death date and age}} {{Death year and age}}
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Age progression is the method involved with changing a photo of an individual to show the impact of maturing on their appearance.Computerized image processing is the most widely recognized procedure, in spite of the fact that craftsmen's drawings are frequently used.
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