- Neural Network
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
The platform for consumers and suppliers of oil and petrochemicals to set a feasible connection between them.
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.
PlanMoreTrips web application and Chrome browser extension
A Chrome extension and web-based dashboard are developed for travelers who want to make their lives easier.