Trains a model, then generates a complete Xcode project that uses it - no code necessary
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Updated
Apr 3, 2017 - Swift
Trains a model, then generates a complete Xcode project that uses it - no code necessary
🍍 An all-in-one POS with image recognition on iOS. Achieved 2nd place at MLH 2017. 🏆
Uses iOS 11 and Apple's CoreML to add nutrition data to your food diary based on pictures. CoreML is used for the image recognition (Inceptionv3). Alamofire (with CocoaPods) is used for REST requests against the Nutritionix-API for nutrition data.
Fish Recognition IOS Application.
Real Time Image Recognition using Machine Learning Model. Repo is about Swift App with CoreML model integrated for realtime image recognization
shazam for food - ios app 🌭🔍
Basic practice about image recognition with CoreML & Vision application using Places205-GoogLeNet.
Flower Power is an iOS 11 / Swift 4 based image recognition app that uses the Oxford 102 Category dataset as a pre-trained model for Core ML to classify what type of flower is in your photo.
Object Tracking using Apple's VISION Framework
Integrate machine learning models into your app for image recognition using core ML and Inception v3 Model
ARKit 1.5 - Image Recognition Demo
Touch the image, hear what it is, written in swift
Este projeto iOS pretende implementar as tecnologias de CoreML para reconhecimento de objetos utilizando a câmera traseira de um iPhone. Ele já vem com um modelo dentro do projeto (94mb), mas permite que seja utilizado outro atualizável a partir da web.
Keras, Vision y CoreML para desarrollar una app que identifica los números de serie de las bicicletas del servicio BiciMAD
A collection of 2 hour builds, added to weekly. Feel free to clone and try them out!
Fish Recognition IOS Application.
Simple Image Recognition App using Core ML and the InceptionV3 Neural Network Classifier.
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