Styria Data Science

Styria.AI vs. other Computer Vision Services

Achieving high accuracy on academic, Imagenet, CIFAR and similar datasets is certainly a valuable academic effort, but achieving high accuracy on real-world images while maintaining blazingly fast response time is an entirely different story.

Free Webinar

Join us for our first free webinar produced jointly with Besedo - a worldwide player in content moderation from Sweden. Educate yourself on how AI can help you increase your user experience. Tune in when Marko Velic, Head of Styria Data Science, and Patrik Frisk, CEO of Besedo discuss how AI helps optimize user experience on online marketplaces. And learn about: The challenges with traditional online marketplace search functions How visual search helps user experience How to prevent counterfeits on ...

Happy holidays and have some great Coopertitions in 2018!

In Styria Data Science, we know that economy is not a zero-sum game and that knowledge sharing and helping each other, even to your competition, is the only right way to grow mutually, create value and make the world a better place. So, 2017 was the great year for us and our clients, partners and friends. After supporting many conferences (ICCV 2017, AI2Future, Data Science Economy, Data Science 3.0, FSEC etc.), student competitions and events (AI Battleground, 24sata Hackathon, Career ...

Award from NVIDIA!

Last week during the NVIDIA GTC Europe 2017 conference, our team won the best poster award! Poster presented our Fashion Cam project done in cooperation with Willhaben (www.willhaben.at). Focus of our presentation were scientific and technical aspects of the Fashion Cam project. Eternal fame and one nice GPU are coming to our office! :D Our success was noticed in Croatian IT community. Here is an article in Croatian IT magazine Netokracija Styria Data Science Team on the conference with NVIDIA ...

Member of NVIDIA Inception program

We are proud to be accepted for the NVIDIA’s Inception program (https://www.nvidia.com/en-us/deep-learning-ai/startups/). Inception nurtures dedicated and exceptional startups who are revolutionizing industries with advances in AI and data science. This virtual accelerator program helps startups during critical stages of product development, prototyping, and deployment. With the membership in the Inception program, we will get access to NVIDIA’s support, the latest knowledge and help of their experts, significant hardware discounts and their marketing platform.

ICCV 2017

One of the most important scientific conferences in the field of Computer Vision - The International Conference on Computer Vision is taking place in Venice, Italy. Styria is proud to be sponsor of this year’s conference and support the research and knowledge in the field. This is our way to say thank you to scientific community and researchers. We believe in knowledge sharing and mutual growth. Visit us in Venice and let’s learn from each other! ICCV 2017 was an ...

NVIDIA POSTER accepted

We will present our Visual Search service. How to create custom and fast image search based on real-world data? What is visual<>semantic tradeoff? How to integrate that with existing search engines? Visit us in Munich on GTC Europe from 10th to 12th October 2017.

Google DNI

A Personalised platform for regional news publishingIt is our great honour and pleasure to announce that the innovative project “A personalised platform for regional news publishing” by Styria Media Services and 24sata (Styria Media Group AG) has been awarded the prestigious Google DNI Innovation Fund, earning a grant of 500,000 Euros. This intelligent platform brings to the field of publishing top-quality innovations in the field of improving content with the help of the newest technologies. This project will improve the ...

Fashion Cam

Machine (Deep) LearningThe scientific techniques used in creating these features are so-called “machine learning” or, more specifically, “deep learning” methods. These are applied to software systems not by explicitly programming instructions one at a time, but by writing them in a way that gives them the capability to learn from data. With this technology, more “soft” and thorough descriptions of problems and solutions can be achieved, since no manual programming can cover all possible variants and tweaks in data.Modern systems, ...

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