HPC is a foundation uniting 51 interdisciplinary public and private organizations, driving substantial and sustainable innovations across various fields, from basic research to computational and experimental sciences, supporting education, and advocating responsible data management for open science.
OnFoods is a foundation that brings together, coordinates and amplifies the work of 26 public and private organisations, leaders in scientific research and sustainable innovation of food systems.
This research focuses on the exploration of the most widely adopted libraries specifically designed for data augmentation in computer vision tasks. Through a curated taxonomy, we present an organized classification of different approaches employed by these libraries, along with accompanying application examples.
In this project we use deep learning with the aim of automatically finding products in grocery store shelves.
In this project we propose a new deep multibranch neural network to solve the tasks …
Very large databases of images and videos depend on efficient algorithms to enable fast browsing and access to the information pursued.
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.
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.