Data fusion algorithm
- Image processing
Classification of textual and visual information
Data science experts of our company have implemented a method of classification of textual and visual information, followed by making a general decision by means of voting.
Image classification was performed on the base of visual descriptors, resistant to scaling and other alternations, with their subsequent grouping by k-nearest neighbors algorithm. Similar group descriptors have also been established for textual information.
SVM classifier was used to make decisions based on early and late fusion of visual and textual information.
The resulting system was tested on the basis of their tweets and their respective image files.
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
Workout helper app
Mobile app for the estimation of proper body positions during the workout.