Fish Recognition IOS Application.

Integrate machine learning models into your app for image recognition using core ML and Inception v3 Model

iOS app that recognizes flowers. Take a pic or choose one from the gallery and the app will give the name and a short description of that specific flower.

iOS app that demonstrates Apple's CoreML and Vision frameworks in action using pre-trained YOLOv3 and Inceptionv3 .mlmodels.

Matura Project Assignment (High School Thesis) of Matyáš Boháček at Gymnázium Jana Keplera, 2022/2023

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one-o-one can be used as an example implementation for the Apple StoreKit API. This project was an approach to work with the MNIST dataset to implement a childrens learning-game to teach handwriting of numbers as well as basich arithmetics.

https://medium.com/@rrsatudua/belajar-machine-learning-pada-ios-dengan-core-ml-image-recognition-48af15d2a726

A iOS app that recognizes banana

Petroleum Predictor is an iOS-based application that leverages Image Recognition algorithms to estimate the size of oceanic oil spills through sheen detection and analysis of user-uploaded images.

Detect images and objects with Core ML

Simple Image Recognition App using Core ML and the InceptionV3 Neural Network Classifier.

This repository showcases my project using Apple's CoreML framework along with the MobileNetV2 model for image recognition. Users can select an image from their photo library, and the app uses machine learning to recognize the contents of the image, displaying the top result with a confidence percentage.

Touch the image, hear what it is, written in swift

Project provides basic idea and approach to implement the Recognizing Text in Images by using apple provided framwork Visson.

An app made using IBM Watson to help the present generation teen to recognise Indian spices pulses and leafy vegetables

Applications for iOS devices using Machine Learning and Augmented Reality