Development analyzes many hidden image parameters, including the geometry of the head, the deterioration of facial properties and color abnormalities. This allows you to detect almost uncomfortable fakes for the human eye.
To teach the neural network, scientists have collected a database of more than 30,000 images created using public facilities to change the face. The experiments showed the high accuracy of the recognition of false images mentioned in the press service.
Developers plan to create a library that can be integrated into video communication systems and reporters.
Source: Ferra
I am a professional journalist and content creator with extensive experience writing for news websites. I currently work as an author at Gadget Onus, where I specialize in covering hot news topics. My written pieces have been published on some of the biggest media outlets around the world, including The Guardian and BBC News.
