Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Visual food recognition

Software
Publication Date:
2017
abstract:
Visual Food Recognition is a Web application that allows users to visually recognize food images. It leverages deep learning techniques based on CNNs. To perform food recognition, we used a pre-trained GoogLeNet, fine-tuned with a further training process on images from the ETHZ Food-101 dataset.
Iris type:
05.11 Software
Keywords:
Image recognition; Food recognition; Image classifier; Deep learning
List of contributors:
Amato, Giuseppe; Gennaro, Claudio; Bolettieri, Paolo
Authors of the University:
AMATO GIUSEPPE
BOLETTIERI PAOLO
GENNARO CLAUDIO
Handle:
https://iris.cnr.it/handle/20.500.14243/394655
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/394655/171005/prod_402494-doc_139982.jpg
  • Overview

Overview

URL

http://food.isti.cnr.it/
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)