Food Classification with Deep Learning in Keras / Tensorflow
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Updated
Mar 22, 2017 - Jupyter Notebook
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Food Classification with Deep Learning in Keras / Tensorflow
food image to recipe with deep convolutional neural networks.
Food detection and recommendation with deep learning
Python package for Open Food Facts
A CoreML model which classifies images of food
Tutorial on building and deploying a Mobile Deep Learning Classifier for food
Food Recognition Using Calorie Mama AI API
This repository contains the dataset and the source code for the classification of food categories from meal images.
An open-source food image embedding model
Food classification using deep learning
Nutri-Score Calculator - The goal of the project is to provide simple library that can calculate the Nutri-Score.
This is a normal food detection app which gives you the idea about meeting your calorie goals against the meal you are having
code and link to the dataset for Kenyan Food detection paper accepted as a paper in MADiMA 2019 Workshop as part of ACM MM 2019 conference.
Binary convnet for food image recognizion (Keras tensorflow)
A system that takes food images as an input, recognizes the food automatically and gives the nutritional-facts as an output.
Food management home assistant app for Google Assistant or Cloud Speech-to-Text service
A python program that uses a trained AI to recognize food in images.
This repository contains the ipynb for a project on deep learning visual classification of food categories
Android Application FOoD Decider, built in kotlin.
Django application to generate food ingredients from food image using fine-tuned ResNet50
A Convolutional Neural Network for food item recognition
Android Food Recognition Example using Calorie Mama AI API
Recipe hacking
Food Image Classifier Server built using Tensorflow.js and Express.js
A web app that takes in users input of a food image and outputs a classification of the image
Deep learning project based on the Inception v2 model. Recognises 21 different classes based on images
A shared space for working on an open standard around food and food business related data which started as a Foodtree project.
The backend repository for the food taxonomy project 'foodo'. This is a project of five TUM students of the course: Future Business Labs (IN2106, IN2128, IN212807)
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