An open-source food image embedding model
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Updated
Dec 10, 2017 - Python
An open-source food image embedding model
Shazam for Food
Food item classifier with alexnet cnn architecture for online food ordering application.
Melbourne Food Analytics on the Cloud
Classify images of food into different classes using Deep Learning.
This is a normal food detection app which gives you the idea about meeting your calorie goals against the meal you are having
Food management home assistant app for Google Assistant or Cloud Speech-to-Text service
Food recognition base on its class and weight
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.
Food classifier trained the inception_v3 model
Track your diet in a smart wayMHacks9 project
A Convolutional Neural Network for food item recognition
This repository contains the dataset and the source code for the classification of food categories from meal images.
Recipe hacking
A python program that uses a trained AI to recognize food in images.
Web application using Streamlit and Keras to predict food class.
Training code for ChineseFoodNet dataset. 对ChineseFoodNet数据集的训练代码
🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation 🍞🍖🍕
Python package for Open Food Facts
The official repository implement of Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning
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