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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]
Sky AI replaces the sky without the need for masking. Atmosphere AI places fog, mist, or haze in your image. Structure AI sharpens details without affecting the people in the photo. Crop AI helps the photos get stronger compositions, crops, and perspectives. Face AI enhances face features and skin . Skin AI smooths skin and gets rid of ...
FaceApp is a photo and video editing application for iOS and Android developed by FaceApp Technology Limited, a company based in Cyprus. [1] The app generates highly realistic transformations of human faces in photographs by using neural networks based on artificial intelligence.
Facial recognition software at a US airport Automatic ticket gate with face recognition system in Osaka Metro Morinomiya Station. A facial recognition system [1] is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces.
DeepFace is a deep learning facial recognition system created by a research group at Facebook.It identifies human faces in digital images. The program employs a nine-layer neural network with over 120 million connection weights and was trained on four million images uploaded by Facebook users.
It uses AI-enabled editing tools to enhance images, such as adding rays of sunshine to a landscape image, to give an example. Its user-friendly interface (UI) allows even beginners to adapt to photo editing easily. Moreover, it has advanced features including tagging, lens correction, and editing RAW images."