
Deep Learning for Product Detection
In this project we use deep learning with the aim of automatically finding products in grocery store shelves.
In this project we use deep learning with the aim of automatically finding products in grocery store shelves.
The annotation of image and video data of large datasets is a fundamental task in multimedia information retrieval and computer vision applications. In order to support the users during the image and video annotation process, several software tools have been developed to provide them with a graphical environment which helps drawing object contours, handling tracking information and specifying object metadata.
In this project we propose a new deep multibranch neural network to solve the tasks …
We have developed the iVAT: an interactive Video Annotation Tool. It supports manual, semi-automatic and automatic annotations through the interaction of the user with various detection algorithms.
Very large databases of images and videos depend on efficient algorithms to enable fast browsing and access to the information pursued.