Demo app for gender classification of facial images using GenderNet, Vision and CoreML.

Take your food's photo and let the code guess it

Real time camera object detection with Machine Learning in swift. Basic introduction to Core ML, Vision and ARKit.

Um aplicativo de reconhecimento real-time do alfabeto em Libras para iOS.

A SwiftUI app using CoreML & Vision to extract text content from the images and querying from the context. Underlying it uses Google's BERT model which converted into CoreML model

iOS App that guesses what you have drawn. It is creating using SwiftUI interface and CoreML. Model is trained using Google's Quick Draw Dataset

Detect corn (sweet corn) or cone (road cones, traffic cones or pylons).

Machine Learning App - Image Recognition

뭐마실뀨 iOS 어플리케이션

ensure the CoreML model

Detect Johnny's face with Core ML and Vision

Combining the power of MobileNetV2 with the privacy of on-device learning. Benefit from real-time updates and efficient image processing, all while ensuring your data remains securely on your device. Experience precision, speed, and trust with PixeLearner.

It's image recognizer app made with using Core ML technologies 

classify meat parts from raw meat images

Rhythm Trainer based on the idea of users snapping their fingers while listening to music. Submitted and Won WWDC23 Swift Student Challenge. Code is the xCode Project. Final Submission Playground is the zip.

A iOS application that is the rock-paper-scissor game.

Rewrite of the SeeFood app using CoreML and Vision.

Play MiDi Chords using Apple's Vision Hand Pose ML Model.

Simple application using Vision framework to detect the main object in an image.

Simple Swift projects to get started with iOS app development