Tag Archives: visual search
Nowadays clients got accustomed to being surrounded by publicity. Even a huge banner or an intrusive neon may remain unnoticed by a client whose purchase profile has evolved completely within last ten years. Clients become more and more aware of … Continue reading
In one of our previous posts we showed you that small size of objects isn’t a concern when it comes to our image recognition technology. Today we continue to provide you with examples of how tolerant our algorithm can be … Continue reading
Calvin Harris, a young and talented singer-songwriter has just released a new mobile app which promotes his new album 18 Months. The new app uses photo recognition technology delivered by Recognize.im to create a closer experience between the artist and … Continue reading
Do you want to identify all of the products visible on a supermarket shelf? Or compare two books, perhaps? We are on the threshold of a great breakthrough. Take a look at the brilliant research carried out by our team, … Continue reading
We all know that mobile Internet speed is rising at a dizzying pace, but how do we make use of it with our smartphones? Do we devour our transfer limit mainly on web searches via a browser? Wrong. Video content … Continue reading
So, you have an iPhone or an iPad. You heard that image recognition is trending and almost everyone is wondering how to incorporate this technology into their apps? We, at Recognize.im, have a ready solution.
Recognize.im will be a partner during the Mobile App Camp in Skopje (Nov 30 – Dec 2). Do you want participate in a great hackathon or learn more about image recognition technology? You can still register.
The 2012 Crunchies is an event run by TechCrunch, GigaOM and Venture Beat. Some new and exciting categories were introduced this year. Who is going to win the prestigious awards?
The businesses of today rely on mutual cooperation more than ever. The rise in popularity of third party software integration and APIs indicates that good collaboration translates directly to high value. When we started building our image recognition technology, we … Continue reading