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FaceApp Review – If you have been observant currently, you will find out that the most trending event online is the pictures of people you know or Dont know been made younger, older or even changed the gender of the individual. Most footballers have got so many of the pictures made that way with or without their consent and the pictures is all over the world as we talk. Have you wondering or asking yourself one of these questions;
How can these be done?
What are the implications of doing it?
Can my phone be able to perform such function?
All of the questions above and even more will be cleared as we go down the article. Developers of app are scattered all over the world with different backgrounds and perspectives towards their goal, with emphasis laid on the users want.
Faceapp download app just like every other app on your phone runs on all Android phones and supported devices. So Faceapp is a mobile application for iOS and Android developed by Russian company wireless Lab which uses neural network technology (A neural network (NN), in the case of artificial neurons called artificial neural network (ANN) or
simulated neural network (SNN), is an interconnected group of natural or artificial neurons that uses a mathematical or computational model for information processing based on a connectionistic approach to computation .
In most cases an ANN is an adaptive system that changes its structure based on external or internal information that flows through the network. In more practical terms neural networks are non-linear statistical data modeling or decision making tools. They can be used to model complex relationships between inputs and outputs or to find patterns in data.
An artificial neural network involves a network of simple processing elements ( artificial neurons) which can exhibit complex global behavior, determined by the connections between the processing elements and element parameters. Artificial neurons were first proposed in 1943 by Warren McCulloch , a neurophysiologist, and Walter Pitts, a logician, who first collaborated at the University of Chicago.)to automatically generate highly realistics transformation of faces in photograph. The app can transform a face to make it; smile, look younger, look older or even change gender.
Not only is FaceApp a state of the art photo-editor powered by AI, but also an app that has over 80 million active users. FaceApp is a free app that can be downloaded to your device from the AppStore or Google Play. Currently there are 21 fun&free filters in the basic version. The Pro version includes 28 filters that can change your style completely with just one tap. There is also a 3-days free trial period for you to enjoy all the premium-features before purchasing the Pro Version.
Steps involved in downloading the app
Locate the Google Play store / play store on your Android device and click on it with your data/wi-fi on.
On the search bar of the play store type faceapp
The app pops up on the screen of the device with install bar, press the install bar.
When installed it will ask for different access on your device which you have to grant and the app is safely installed on your device.
From your gallery import pics you want to work on to its platform and edit as you want.
The app is very friendly to use, with a tap you can edit various photo on how you want it to appear And tease your social fans.
Here are the dangers of using the app;
Although FaceApp has been around since 2014, it had its minute of glory in 2017 thanks to a function that allowed users to apply filters to emulate different ethnic groups.
FaceApp lets users turn moody faces to merry ones, see what they would look like grey haired and grizzled, and turn back the hands of time, among other things. It is an app built only to please those who really want a new way to play roulette with their own face. However, since its launch, FaceApp hasn’t been without controversy and we list the prominent ones below so that they can guide you in your use of the app.
A major concern of yours should be the access you grant the app to your data. Like many other apps on your phone, it is not clear what happens to all the data you give it and it is believed that the company’s privacy policy leaves a fair amount of wriggle room.
FaceApp’s privacy policy. reads:
“When you use our Service, our servers automatically record certain log file information, including your web request, Internet Protocol address, browser type, referring / exit pages and URLs, number of clicks and how you interact with links on the Service, domain names, landing pages, pages viewed, and other such information.”
Security experts have warned that people who use FaceApp may be putting their personal information at risk, including the pictures they are sharing of themselves. The app uses “device identifiers” allowing the company to monitor how you browse and use the app in order to target you with “personalised content which could include online ads or other forms of marketing”.
Not only that, the world is slowly but steadily tilting towards facial recognition so you need to start treating your face like a password because if the data you share with apps like FaceApp falls into the wrong hands, it could be used by cybercriminals to spoof your identity.
Another issue that most concerned users have is that the developer of FaceApp, Wireless Lab does not specify what would happen if the company was dissolved or sold, nor whether it can be transferred the fiscal direction of the same to abide by another more permissive regulation with the data collected.
Some people have figured out that transforming an already altered FaceApp photo more than once can really create some disturbing images.
FaceApp founder and chief executive, Yaroslav Goncharov had to apologise when the app’s “hot” filter was tagged racist. The ‘hot’ filter purportedly made you look better by whitening the skin of people of colour to make them look more attractive. Following the backlash, FaceApp said it had temporarily renamed the filter “spark” and the option was no longer available on the Android version of the app.
In a statement to TechCrunch, Goncharov said
“We are deeply sorry for this unquestionably serious issue. It is an unfortunate side-effect of the underlying neural network caused by the training set bias, not intended behaviour.”