Model for restoring blurred and pixelated faces in a photo.
The model is built on a base of a trainable neural network that receives an image with a blurred or pixelated face, recognizes and analyzes it, and then restores it as close to the original state as possible.
Our developers have processed a training images dataset and analyzed the results within several cycles. Eventually we have a full-value API that can restore the face in a photo highly realistically.
At the moment, the model is already showing decent results.
Complex solution for oil consumers and suppliers
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Virtual try-on tool for makeup products
The system consists of a face detection and segmentation model and an algorithm that allows recoloring objects without losing their original texture.
Online sign language interpreter
AI algorithm that converts video of a person using sign language into a text transcript