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.

Jeju Machine Learning Camp 2018

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

AI Calories Tracker lets you snap meals, auto-detect foods via Clarifai, fetch nutrition from USDA, and track calories/macros with a Supabase backend + local persistence. Supports serving adjustments, .env/CI secrets, and an intuitive, lightweight UI.

AI allergen detector using images, LogMeal API, and Firebase DB

Automatically recognizing pictured dishes.

Predict food (Fruits and Vegetables) images using Python

Indonesian food recognition

Neural Network for recognising food items from its picture.

Recognition of Russian food through deep learning

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.

Thesis Topic: Transfer Learning Based Food Item Recognition and Estimation of an Attributes.

Simple API-based food calories calculator for quick nutritional insights from photo