ViCoS Eye is an experimental online service that aims to demonstrate a state-of-the-art computer vision object detection and categorization algorithm developed in the Visual Cognitive Systems Laboratory at the Faculty of Computer Science and Informatics, University of Ljubljana.
Service is currently available as an android application and as a simple web-page accessible at http://eye.vicos.si.
What can it do?
At the moment you can upload an image and the system will recognize known objects in it and detect and/or categorize them. With time we plan to add more functionality like searching for similar images.
The algorithm has been trained on selected images from a standard benchmark datasets Caltech 101 and ETHZ Shape Classes, therefore its knowledge is limited. With time we plan to extend this initial knowledge database by also incorporating submitted images to improve the overall performance of the service.
More information including listing of available categories for detection and categorization is available at http://www.vicos.si/Research/VicosEye
The images that you upload to the service will not be published publicly anywhere, however, we can use them together with your feedback to improve our service.