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

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

Predict food (Fruits and Vegetables) images using Python

Automatically recognizing pictured dishes.

Creation of a model in DeepLearning for a detection and classification using Bounding Box. Using Keras and Tensorflow

Neural Network for recognising food items from its picture.

FatLogger, an advanced Android application, has been developed to cater to the needs of users seeking precise nutritional information regarding their meals.

Indonesian food recognition

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.