A Benchmark Dataset to Study the Representation of Food Images
G. M. Farinella, D. Allegra, F. Stanco
International Workshop on Assistive Computer Vision and Robotics (ACVR) 2014
IN CONJUNCTION WITH ECCV 2014

Paper      Poster       Video        UNICT-FD889 Dataset

CONTACT:
Giovanni Maria Farinella
gfarinella@dmi.unict.it

Related Publications

D. Allegra, D. Erba, G. M. Farinella, G. Grazioso, P. D. Maci, F. Stanco, V. Tomaselli, “Learning to Rank Food Images”, International Conference on Image Analysis and Processing, Trento, Italy, September 2019, Website, Dataset, Paper

Y. Lu, D. Allegra, M. Anthimopoulos, F. Stanco, G. M. Farinella, S. Mougiakakou, “A multi-task learning approach for meal assessment”, Joint Workshop on Multimedia for Cooking and Eating Activities and Multimedia Assisted Dietary Management (CEA/MADiMa '18), 2018, Paper,

D. Allegra, M. Anthimopoulos, J. Dehais, Y. Lu, F. Stanco G. M. Farinella, S. Mougiakakou, “A Multimedia Database for Automatic Meal Assessment Systems”, 3rd International Workshop on Multimedia Assisted Dietary Management, in Conjunction with the International Conference on Image Analysis and Processing, Catania, Italy, 12 September 2017, Paper,

F. Ragusa, A. Furnari, G. M. Farinella, “Understanding Food Images to Recommend Utensils During Meals”, 3rd International Workshop on Multimedia Assisted Dietary Management, in Conjunction with the International Conference on Image Analysis and Processing, Catania, Italy, 12 September 2017, Paper,

G. M. Farinella, D. Allegra, M. Moltisanti, F. Stanco, S. Battiato, Retrieval and Classification of Food Images, Computers in Biology and Medicine, 2016 Website, Dataset, Paper,

F. Ragusa, V. Tomaselli, A. Furnari, S. Battiato, G. M. Farinella, “Food vs Non-Food Classification”, 2nd International Workshop on Multimedia Assisted Dietary Management, in Conjunction with ACM Multimedia, Amsterdam, 16 Oct 2016 Website, Paper,
G. M. Farinella, M. Moltisanti, S. Battiato, Classifying Food Images Represented as Bag of Textons, IEEE International Conference on Image Processing, 2014 Paper

G. M. Farinella, D. Allegra, F. Stanco, S. Battiato, On the Exploitation of One Class Classification to Distinguish Food vs Non-Food Images, 1st International Workshop on Multimedia Assisted Dietary Management, 2015, WEBSITE AND DATASET,Paper

G. M. Farinella, M. Moltisanti, S. Battiato, Food Recognition Using Consensus Vocabularies, 1st International Workshop on Multimedia Assisted Dietary Management, 2015 Paper

G. M. Farinella, D. Allegra, M. Moltisanti, F. Stanco, S. Battiato, Food Understanding from Digital Images, Sim-Food, 2015 PaperSlides

Francesco Ragusa, Valeria Tomaselli, Antonino Furnari, Sebastiano Battiato, Giovanni Maria Farinella, Food vs Non-Food Classification, 2nd International Workshop on Multimedia Assisted Dietary Management, 2016 WRBSITE AND DEMO,Paper

Related Events
1st International Workshop on Multimedia Assisted Dietary Management (MADiMa), in conjunction with ICIAP 2015, Sept 2015, WEBSITE,Call for Papers

UNICT FOOD DATASET 889 (UNICT-FD889)

The UNICT-FD889 dataset is composed by 889 distinct plates of food to Study the Representation of Food Images.
The figure below can be used to visually assess the food images composing the UNICT-FD889 dataset.

Download the UNICT-FD889 Dataset