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Found 6 papers, 0 papers with code
Deep Learning Based Named Entity Recognition Models for Recipes
Simultaneously, we systematically cleaned and analyzed ingredient phrases from RecipeDB, the gold-standard recipe data repository, and annotated them using the Stanford NER.
Dish detection in food platters: A framework for automated diet logging and nutrition management
By comparing with the state-of-the-art model for the IndianFood10 dataset, we demonstrate the superior object detection performance of YOLOv8x for this subset and establish Resnet152 as the best architecture for multi-label classification.
Object Detection in Indian Food Platters using Transfer Learning with YOLOv4
We solve these issues by providing a comprehensively labelled Indian food dataset- IndianFood10, which contains 10 food classes that appear frequently in a staple Indian meal and using transfer learning with YOLOv4 object detector model.
FlavorDB2: An Updated Database of Flavor Molecules
Flavor is expressed through interaction of molecules via gustatory and olfactory mechanisms.
Ratatouille: A tool for Novel Recipe Generation
Due to availability of a large amount of cooking recipes online, there is a growing interest in using this as data to create novel recipes.
Fiducia: A Personalized Food Recommender System for Zomato
This paper presents Fiducia, a food review system involving a pipeline which processes restaurant-related reviews obtained from Zomato (India's largest restaurant search and discovery service).
