Food Classification with Deep Learning in Keras / Tensorflow
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Updated
Mar 22, 2017 - Jupyter Notebook
Food Classification with Deep Learning in Keras / Tensorflow
food image to recipe with deep convolutional neural networks.
🐍 Python package for Open Food Facts
Food detection and recommendation with deep learning
🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation 🍞🍖🍕
📱 🏃 🍎 Fitness application that’s used to keep track of your physical fitness data, daily calorie count, invite friends to work out together and ultimately get healthy.
A CoreML model which classifies images of food
A system that takes food images as an input, recognizes the food automatically and gives the nutritional-facts as an output.
This repository is the main Food Recognition Benchmark template and Starter kit. Clone the repository to compete now!
Tutorial on building and deploying a Mobile Deep Learning Classifier for food
This repository contains the dataset and the source code for the classification of food categories from meal images.
The official repository implement of Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning
Food Recognition Using Calorie Mama AI API
Nutri-Score Calculator - The goal of the project is to provide simple library that can calculate the Nutri-Score.
An open-source food image embedding model
An end-to-end CNN Image Classification Model which identifies the food in your image
[ 보아즈 ] 음식 칼로리 자동 계산 서비스
Food classification using deep learning
Food management home assistant app for Google Assistant or Cloud Speech-to-Text service
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