Food Classification with Deep Learning in Keras / Tensorflow
-
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 analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation 🍞🍖🍕
Food detection and recommendation with deep learning
📱 🏃 🍎 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!
The official repository implement of Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning.
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.
Food Recognition Using Calorie Mama AI API
Web application that manage food recipes with simplicity
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
Training code for ChineseFoodNet dataset. 对ChineseFoodNet数据集的训练代码
An end-to-end CNN Image Classification Model which identifies the food in your image
Add a description, image, and links to the food-classification topic page so that developers can more easily learn about it.
To associate your repository with the food-classification topic, visit your repo's landing page and select "manage topics."