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
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
This repository contains the dataset and the source code for the classification of food categories from meal images.
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 and benchmark against statistical model like scale-invariant feature transform (SIFT) and color histogram
Food management home assistant app for Google Assistant or Cloud Speech-to-Text service
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