Facebook To Recognize Faces With Precision Of Human Eye


First it corrects the image of the person to face forward, then it does a 3D model of a ‘normal forward facing human’ to fix the image, then it uses the deep face learning by simulating a neural network over the image and then a reoriented face is created. If the software finds some facial similarities between the two images then the software confirms it to be the same face.

On a study conducted by MIT and reported to Forbes, “The software is being tested with dataset of about 4 billion facial images belonging to around 4000 people which means each person had an average of thousand samples to be tested.”

Apparently, the facial recognition software has been around Facebook for quite a long time. But, with DeepFace, mistakenly tagging people in the pictures can be reduced while helping to tag a person in a low lit photo.

At present, Facebook’s DeepFace is only in the research form and by June this year, it will be presented at the IEEE conference in Ohio.

READ MORE: Google Reveals Android Wear, An Exclusive OS For Wearable Gadgets and Now Make A Call Via Facebook Messenger