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: