There are 3 repositories under food-recognition topic.
Jeju Machine Learning Camp 2018
This GitHub repository contains instructions for downloading and utilizing the AI4Food-NutritionDB food image database, as well as different food recognition systems based on Xception and EfficientNetV2 architectures.
Building a model for predicting food images using the famous FOOD-101 dataset.
Food object detection with base Faster R-CNN TensorFlow model with k-fold cross validation, resulting in volume estimation and producing caloric data.
Image-based food segmentation for Deep Learning class at @UNIBO
This android app takes food item image as input ,recognises the food item and calculates the nutrition value on the food , calories to be burned.
Food Recognition using Generative Adversarial Networks
Food recognition using streamlit with inception v3 backend
AICrowd Food Recognition Challenge - Semantic Segmentation
Predict food (Fruits and Vegetables) images using Python
Automatically recognizing pictured dishes.
AI allergen detector using images, LogMeal API, and Firebase DB
Indonesian food recognition
Creation of a model in DeepLearning for a detection and classification using Bounding Box. Using Keras and Tensorflow
FatLogger, an advanced Android application, has been developed to cater to the needs of users seeking precise nutritional information regarding their meals.
This repository contains the code and data for a multi-task deep learning project that aims to recognize food ingredients from images and estimate their calorie content. The project utilizes a combination of image recognition techniques and natural language processing to analyze food images and extract relevant information.
Fruit recognition backend. A part of https://github.com/Meshkat-Shadik/NutritionAppBackend for Nutrition APP.
Recognition of Russian food through deep learning
Thesis Topic: Transfer Learning Based Food Item Recognition and Estimation of an Attributes.
FoodFrame: An AI-powered calorie tracker using Expo and OpenAI Vision
ChefConnect: A mobile recipe-sharing app with React Native, MongoDB, Express, Node.js, and Tailwind CSS. Discover, save, and share recipes securely.
Project submission for hack it sapiens hackathon.
FoodReco is an innovative solution for smarter nutrition tracking. Upload a food image, let our AI recognize it, and receive meal suggestions tailored to your dietary needs. Built with TensorFlow, PyTorch, and Gradio, FoodReco bridges the gap between modern AI and health-focused living.