DeepAI AI Chat
Log In Sign Up

FoodX-251: A Dataset for Fine-grained Food Classification

by   Parneet Kaur, et al.
SRI International

Food classification is a challenging problem due to the large number of categories, high visual similarity between different foods, as well as the lack of datasets for training state-of-the-art deep models. Solving this problem will require advances in both computer vision models as well as datasets for evaluating these models. In this paper we focus on the second aspect and introduce FoodX-251, a dataset of 251 fine-grained food categories with 158k images collected from the web. We use 118k images as a training set and provide human verified labels for 40k images that can be used for validation and testing. In this work, we outline the procedure of creating this dataset and provide relevant baselines with deep learning models. The FoodX-251 dataset has been used for organizing iFood-2019 challenge in the Fine-Grained Visual Categorization workshop (FGVC6 at CVPR 2019) and is available for download.


page 1

page 2


Towards the Creation of a Nutrition and Food Group Based Image Database

Food classification is critical to the analysis of nutrients comprising ...

Fine-grained Image Classification by Exploring Bipartite-Graph Labels

Given a food image, can a fine-grained object recognition engine tell "w...

IndoFashion : Apparel Classification for Indian Ethnic Clothes

Cloth categorization is an important research problem that is used by e-...

The Focus-Aspect-Polarity Model for Predicting Subjective Noun Attributes in Images

Subjective visual interpretation is a challenging yet important topic in...

A Large-Scale Benchmark for Food Image Segmentation

Food image segmentation is a critical and indispensible task for develop...

The Devil is in the Tails: Fine-grained Classification in the Wild

The world is long-tailed. What does this mean for computer vision and vi...

iCassava 2019Fine-Grained Visual Categorization Challenge

Viral diseases are major sources of poor yields for cassava, the 2nd lar...