Food Recognition
11 papers with code • 0 benchmarks • 8 datasets
Benchmarks
These leaderboards are used to track progress in Food Recognition
Datasets
Recipe1M+
FoodX-251
ISIA Food-500
ChineseFoodNet
KenyanFood13
CNFOOD-241-Chen
Indian Food Image Dataset
Latest papers with no code
MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring
This work presents the development of an intelligent system that classifies and segments food presented in images to help the automatic monitoring of user diet and nutritional intake.
ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network
To encourage further progress in food recognition, we introduce the dataset ISIA Food- 500 with 500 categories from the list in the Wikipedia and 399, 726 images, a more comprehensive food dataset that surpasses existing popular benchmark datasets by category coverage and data volume.
Deep Residual Network based food recognition for enhanced Augmented Reality application
A system that can detect the features of such objects in the present state from camera images can be used to enhance the application of Augmented Reality for improving user experience and delivering information in a much perceptual way.
Multi-Task Image-Based Dietary Assessment for Food Recognition and Portion Size Estimation
Deep learning based methods have achieved impressive results in many applications for image-based diet assessment such as food classification and food portion size estimation.
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients
Regular monitoring of nutrient intake in hospitalised patients plays a critical role in reducing the risk of disease-related malnutrition.
Deep Convolutional Generative Adversarial Network Based Food Recognition Using Partially Labeled Data
Our work aims at developing an efficient deep CNN learning-based method for food recognition alleviating these limitations by using partially labeled training data on generative adversarial networks (GANs).
Food recognition and recipe analysis: integrating visual content, context and external knowledge
The central role of food in our individual and social life, combined with recent technological advances, has motivated a growing interest in applications that help to better monitor dietary habits as well as the exploration and retrieval of food-related information.
FoodNet: Recognizing Foods Using Ensemble of Deep Networks
In this work we propose a methodology for an automatic food classification system which recognizes the contents of the meal from the images of the food.
Food Recognition using Fusion of Classifiers based on CNNs
With the arrival of convolutional neural networks, the complex problem of food recognition has experienced an important improvement in recent years.
Exploring Food Detection using CNNs
One of the most common critical factors directly related to the cause of a chronic disease is unhealthy diet consumption.
