Data fusion algorithm
- Computer Vision Toolbox
- 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.
Model for restoring blurred and pixelated faces in a photo.
Workout helper app
Mobile app for the estimation of proper body positions during the workout.
Car rental price simulation and prediction
The goal of the project is to train models for car rental price prediction in Japan based on the prices and demand for car rental from some Japanese car rental companies and the history of weather data in Japan.